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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliMake an Immediate Impact: You’ll ship production features used by real customers within your first few weeksCategory-Defining Work: Help shape how AI employees operate in the $600B home services marketMove Fast: We ship in weeks, not quarters—speed and execution matter hereHigh Ownership: Small team, high trust, and direct collaboration with foundersReal-World Scale: Build systems that handle live voice traffic, real revenue, and operational complexityWhat You’ll DoBuild and scale our AI agent platform, backend services, and internal toolingDesign and develop APIs and deep integrations with platforms like ServiceTitanOwn full product features end-to-end—from idea and design to production and iterationImprove agent intelligence, reliability, and real-time voice performanceWork closely with Product, Customer Success, and Sales to ship high-impact featuresHelp evolve our infrastructure as we scale usage, customers, and revenue What We’re Looking For4-8 years of experience in backend or full-stack software engineeringStrong engineering fundamentals and product intuitionComfortable working in fast-paced, ambiguous startup environmentsExperience building and operating production systems and APIsOwnership mindset—you care deeply about what you ship and how it performs Why BroccoliProven Momentum: $7M ARR today, scaling quicklyElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Ownership: Equity that reflects real impactCustomer-Driven Engineering: What you build directly affects how customers operateBeautiful South Park Office: Work in-person with a tight-knit, ambitious team

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.  We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey ASAPP is expanding its research team and is looking for an experienced Research Scientist specializing in Conversational AI & Machine Learning. In this role, you will work on solving scientific challenges related to Conversational AI to build domain-specific, real-world solutions. You will have the opportunity to leverage the massive amounts of data generated by our products to ask fundamental research questions, while deploying AI features into real-world applications.What you'll doHands-on Research: Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications.Research Leadership: Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives.Collaboration & Advocacy: Work with cross-functional teams to socialize your research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions.Documentation & Publication: Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations.Mentorship: Mentor and guide junior researchers, helping them develop their skills in independent research and the communication of their findings.What you'll needEducation: PhD in a relevant field (such as Computer Science, Electrical Engineering, Linguistics, etc.), along with significant experience in research.Technical Expertise: Strong research experience in LLMs, Conversational AI, or Speech systems, including practical knowledge of algorithm design, model development, and experimental evaluation.  Ideally with a focus on real-world applications.Mentorship & Leadership: Experience in coaching and guiding junior researchers or research engineers.Hands-on Contribution: As an individual contributor, you’ll be expected to lead experiments, perform hands-on research, and drive the execution of innovative projects.Enthusiasm: A passion for continued learning and deepening expertise in machine learning and AI, with a strong desire to apply research in impactful ways.What we'd like to seeExperience with Spoken Conversational AI applications or Speech LLMs.Ability to develop and lead independent research programs.A collaborative mindset, eager to share research findings and drive their application across product teams.Experience in a startup environment, with the ability to balance deep research and rapid execution.ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-GP1 #LI-Hybrid

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.  We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey. We're currently expanding our research team, and looking for an experienced Research Lead  specializing in Conversational AI & Speech. In this role, you will work on solving scientific challenges related to Conversational AI to build domain-specific, real-world solutions.  Your contributions will be through both applying your expertise as an IC, and through your leadership of a team of researchers.   You will have the opportunity to leverage the massive amounts of data generated by our products to ask fundamental research questions, while deploying AI features into real-world applications.What you'll doLead, mentor and grow a team of research scientists and engineers working on spoken conversational AI research initiatives.  Hands-on Research: Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applicationsResearch Leadership: Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiativesCollaboration & Advocacy: Work with cross-functional teams to socialize your research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutionsDocumentation & Publication: Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovationsMentorship: Mentor and guide junior researchers, helping them develop their skills in independent research and the communication of their findings.What we're looking forEducation: PhD in a relevant field (such as Computer Science, Electrical Engineering, Linguistics, etc.), along with significant experience in research.Technical Expertise: Strong research experience in Speech systems and/or Speech LLMs, including practical knowledge of algorithm design, model development, and experimental evaluation.Mentorship & Leadership: Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.Hands-on Contribution: As an individual contributor, you’ll be expected to lead experiments, perform hands-on research, and drive the execution of innovative projectsEnthusiasm: A passion for continued learning and deepening expertise in machine learning and AI, with a strong desire to apply research in impactful ways.What we'd like to seeExperience building & growing an applied research team in academia or industry.Experience with Spoken Conversational AI applications or Speech LLMs.Experience developing and leading long term research programs.Experience collaborating across functions to productize research, and to improve production systems.A collaborative mindset, eager to share research findings and drive their application across product teams.Experience in a startup environment, with the ability to balance deep research and rapid execution. 270,000 - 290,000 a yearCompensation is a combination of salary and performance bonus Separately, you will also receive an equity grantASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-AG1 #LI-Hybrid

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey. Research Engineers at ASAPP work to fundamentally advance the science of AI towards our goal of deploying domain specific real-world AI solutions, and to apply those advances to our products.  They leverage the massive amounts of data generated by our products, and our ability to deploy AI features into real-world use to ask and address fundamental research questions critical to our product. We are expanding our research team, and are looking for candidates with masters degrees; research experience in Conversational AI, Speech systems, LLMs, or Machine Learning; outstanding communication skills; and strong software engineering skills. If you thrive in an environment of deep thinking, impactful research, and startup-paced execution, ASAPP is an ideal environment for you.What you’ll doDesign, develop and evaluate novel techniques in AI to advance the capabilities and impact of ASAPP’s products.Collaborate with product & engineering teams to ensure the success of projects during the research phase and after.Build and maintain research datasets, infrastructure and toolkitsCollaborate with other functions at ASAPP to identify research opportunities.What you’ll needA masters degree in any area of machine learning; or equivalent experienceRelevant academic or industrial research experienceThe scientific curiosity and tenacity required to solve hard research problems.Strong communications and interpersonal skillsAbility to work with a diverse team in a fast-paced environmentWe’d like to seePeer reviewed publications in any area of machine learningStrong software engineering experienceExperience in Speech systems research and engineering.Experience fine-tuning LLMs.Ability to maintain a fun, casual, professional and productive team atmosphereThe ability to communicate in a courteous, tactful, and concise mannerEnthusiasm and the ability to thrive in an atmosphere of constant changeBenefitsCompetitive compensationStock optionsHealthcare for the family groupUSD 150 per month in flexible benefitsMac equipment3 weeks of vacationEnglish lessonsASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-SL1 #LI-Remote

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.  We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey. We're currently expanding our research team, and looking for an experienced Research Lead  specializing in Conversational AI & Speech. In this role, you will work on solving scientific challenges related to Conversational AI to build domain-specific, real-world solutions. Your contributions will be through both applying your expertise as an IC, and through your leadership of a team of researchers.  You will have the opportunity to leverage the massive amounts of data generated by our products to ask fundamental research questions, while deploying AI features into real-world applications.What you'll doLead, mentor and grow a team of research scientists and engineers working on spoken conversational AI research initiatives.  Hands-on Research: Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applicationsResearch Leadership: Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiativesCollaboration & Advocacy: Work with cross-functional teams to socialize your research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutionsDocumentation & Publication: Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovationsMentorship: Mentor and guide junior researchers, helping them develop their skills in independent research and the communication of their findings.What we're looking forEducation: PhD in a relevant field (such as Computer Science, Electrical Engineering, Linguistics, etc.), along with significant experience in research.Technical Expertise: Strong research experience in Speech systems and/or Speech LLMs, including practical knowledge of algorithm design, model development, and experimental evaluation.Mentorship & Leadership: Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.Hands-on Contribution: As an individual contributor, you’ll be expected to lead experiments, perform hands-on research, and drive the execution of innovative projectsEnthusiasm: A passion for continued learning and deepening expertise in machine learning and AI, with a strong desire to apply research in impactful ways.What we'd like to seeExperience building & growing an applied research team in academia or industry.Experience with Spoken Conversational AI applications or Speech LLMs.Experience developing and leading long term research programs.Experience collaborating across functions to productize research, and to improve production systems.A collaborative mindset, eager to share research findings and drive their application across product teams.Experience in a startup environment, with the ability to balance deep research and rapid execution.BenefitsCompetitive compensationStock optionsHealthcare for the family groupUSD 150 per month in flexible benefitsMac equipment3 weeks of vacationEnglish lessonsASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-SL1 #LI-Remote

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey. ASAPP is expanding its research team and is looking for an experienced Research Scientist specializing in Conversational AI & Machine Learning. In this role, you will work on solving scientific challenges related to Conversational AI to build domain-specific, real-world solutions. You will have the opportunity to leverage the massive amounts of data generated by our products to ask fundamental research questions, while deploying AI features into real-world applications.What you’ll doHands-on Research: Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications.Research Leadership: Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives.Collaboration & Advocacy: Work with cross-functional teams to socialize your research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions.Documentation & Publication: Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations.Mentorship: Mentor and guide junior researchers, helping them develop their skills in independent research and the communication of their findings.What you’ll needEducation: PhD in a relevant field (such as Computer Science, Electrical Engineering, Linguistics, etc.), along with significant experience in research.Technical Expertise: Strong research experience in LLMs, Conversational AI, or Speech systems, including practical knowledge of algorithm design, model development, and experimental evaluation.  Ideally with a focus on real-world applications.Mentorship: Experience in coaching and guiding junior researchers or research engineers.Hands-on Contribution: As an individual contributor, you’ll be expected to lead experiments, perform hands-on research, and drive the execution of innovative projects.Enthusiasm: A passion for continued learning and deepening expertise in machine learning and AI, with a strong desire to apply research in impactful ways.We’d like to seeExperience with Spoken Conversational AI applications or Speech LLMs.Ability to develop and lead independent research programs.A collaborative mindset, eager to share research findings and drive their application across product teams.Experience in a startup environment, with the ability to balance deep research and rapid execution.BenefitsCompetitive compensationStock optionsHealthcare for the family groupUSD 150 per month in flexible benefitsMac equipment3 weeks of vacationEnglish lessonsASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-SL1 #LI-Remote

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At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey. Research Engineers at ASAPP work to fundamentally advance the science of AI towards our goal of deploying domain specific real-world AI solutions, and to apply those advances to our products.  They leverage the massive amounts of data generated by our products, and our ability to deploy AI features into real-world use to ask and address fundamental research questions critical to our product. We are expanding our research team, and are looking for candidates with masters degrees; research experience in Conversational AI, Speech systems, LLMs, or Machine Learning; outstanding communication skills; and strong software engineering skills. If you thrive in an environment of deep thinking, impactful research, and startup-paced execution, ASAPP is an ideal environment for you.What you’ll doDesign, develop and evaluate novel techniques in AI to advance the capabilities and impact of ASAPP’s products.Collaborate with product & engineering teams to ensure the success of projects during the research phase and after.Build and maintain research datasets, infrastructure and toolkitsCollaborate with other functions at ASAPP to identify research opportunities.What you’ll needA masters degree in any area of machine learning; or equivalent experienceRelevant academic or industrial research experienceThe scientific curiosity and tenacity required to solve hard research problems.Strong communications and interpersonal skillsAbility to work with a diverse team in a fast-paced environmentWe’d like to seePeer reviewed publications in any area of machine learningStrong software engineering experienceExperience in Speech systems research and engineering.Experience fine-tuning LLMs.Ability to maintain a fun, casual, professional and productive team atmosphereThe ability to communicate in a courteous, tactful, and concise mannerEnthusiasm and the ability to thrive in an atmosphere of constant changeBenefitsCompetitive compensationStock optionsICICI Lombard General Insurance LTDOnsite lunch & dinner stipendConnectivity (mobile phone & internet) stipendWellness perksMac equipmentLearning & development stipendParental leave, including 6 weeks paternity leaveASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-SL1 #LI-Hybrid

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About Nooks.ai:Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and Toast, and hundreds more. For more information, visit Nooks.ai http://Nooks.ai.About the Role: We are looking for a Senior Engineer to join our engineering team. In this role, you will work at the forefront of LLMs and AI agents to transform the way enterprises do outbound sales and generate pipeline. You will have the opportunity to help scale our existing products and build new products alongside our customers. As a senior member of the team, you'll work closely with the engineering leadership team to shape technical and product vision. If you're passionate about working in a fast-paced environment and help build a category defining sales product, we want to hear from you.What you’ll do:Build and maintain scalable, high-performance applications across the full stackLead the design and implementation of new features in our core platformCollaborate closely with product, design, and other engineering teams to deliver impactful solutionsArchitect and develop front-end components using React and TypeScriptWork on back-end services and APIs with Node.js and PythonMentor and guide junior engineers in best practices, coding standards, and architectural principlesOwn the end-to-end delivery of features, from ideation to productionContinuously improve the performance, scalability, and reliability of our applicationsContribute to the company’s technical roadmap, setting standards for code quality and development processesHelp define and evolve the team’s engineering cultureWe’re looking for someone who has:At least 6 years of experience in full-stack engineering, with expertise in React, TypeScript, Node.js, and PythonProven technical leadership experience for at least 1 year, ideally with some experience in mentoring junior engineersDemonstrated ability to thrive in fast-paced and high-growth environmentsStrong communication skills and the ability to work effectively in a team-oriented environmentPast experience working at a startup or fast-growing tech company Compensation at Nooks for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options, comprehensive health, dental, vision, life and disability insurance coverage, hybrid work, and unlimited paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $215K - $280K annually.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Nooks is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.Equal Employment Opportunity StatementNooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.

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About Nooks.ai:Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and Toast, and hundreds more. For more information, visit Nooks.ai http://Nooks.ai.About the Role: We are looking for a Senior Engineer to join our engineering team. In this role, you will work at the forefront of LLMs and AI agents to transform the way enterprises do outbound sales and generate pipeline. You will have the opportunity to help scale our existing products and build new products alongside our customers. As a senior member of the team, you'll work closely with the engineering leadership team to shape technical and product vision. If you're passionate about working in a fast-paced environment and help build a category defining sales product, we want to hear from you.What you’ll do:Build and maintain scalable, high-performance applications across the full stackLead the design and implementation of new features in our core platformCollaborate closely with product, design, and other engineering teams to deliver impactful solutionsArchitect and develop front-end components using React and TypeScriptWork on back-end services and APIs with Node.js and PythonMentor and guide junior engineers in best practices, coding standards, and architectural principlesOwn the end-to-end delivery of features, from ideation to productionContinuously improve the performance, scalability, and reliability of our applicationsContribute to the company’s technical roadmap, setting standards for code quality and development processesHelp define and evolve the team’s engineering cultureWe’re looking for someone who has:At least 8 years of experience in full-stack engineering, with expertise in React, TypeScript, Node.js, and PythonProven technical leadership experience for at least 1 year, ideally with some experience in mentoring junior engineersDemonstrated ability to thrive in fast-paced and high-growth environmentsStrong communication skills and the ability to work effectively in a team-oriented environmentPast experience working at a startup or fast-growing tech company Compensation at Nooks for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options, comprehensive health, dental, vision, life and disability insurance coverage, hybrid work, and unlimited paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $250K - $325K annually.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Nooks is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.Equal Employment Opportunity StatementNooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!About the RoleAs an Agentic Product Analyst at Netomi, you will be the strategic and technical owner responsible for designing, architecting, and deploying large-scale Agentic AI solutions for enterprise customers. You will translate complex business processes into AI-driven workflows, define integration blueprints, and guide customers through their transformation to autonomous AI agents. You will work closely with Customers, CSM, Integration Engineers, QA, Product, and Engineering to ensure end-to-end success of every deployment.ResponsibilitiesLead discovery sessions with enterprise customers to understand business processes, operations, workflows, KPIs, and constraints.Identify automation opportunities and design agentic orchestration strategies using Netomi’s AI platform.Build detailed solution blueprints — workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design.Define end-to-end Agentic AI architectures, covering intents, actions, tools, integration points, and decision logic.Work with customer technical teams to map integration dependencies (APIs, events, SSO, CRMs, ticketing systems, internal tools).Own the creation of integration design documents and support Integration Engineers during implementation.Ensure agent workflows comply with enterprise standards (security, reliability, audit, governance).Collaborate with Product & Engineering to translate customer requirements into features or enhancements.Serve as the product owner during deployment — driving priorities, clarifications, acceptance criteria, and workflow evolution.Validate solution behavior end-to-end with QA and guide test plans, scenario tests, and success criteria.Conduct user-experience reviews of agent outputs and behavior tuning.Act as a trusted advisor to customer stakeholders (CX, Ops, Digital Transformation, Engineering).Present architectural recommendations, best practices, and roadmap suggestions.Train customer teams on agentic workflows, governance, and performance improvement strategies.Ensure projects are delivered on time with high quality, low rework, and measurable impact.Drive continuous improvement through playbooks, reusable workflow templates, and integration patterns.Maintain deep expertise in agentic AI, LLMs, workflow orchestration, and enterprise systems.Requirements3–5 years in Solutions Architecture / Implementation Consulting / Product Consulting / Workflow Design for enterprise SaaS or AI platforms.Experience designing complex workflows and integrations across enterprise systems.Ability to gather requirements, translate them into technical specifications, and drive execution.Customer-facing consulting experience with strong communication & facilitation skills.Understanding of REST APIs, event-driven systems, data flows, and enterprise integrations.Experience working cross-functionally with CSM, engineering, product, and QA teams.Nice-to-HaveBackground in Conversational AI, Agentic AI, RPA, Automation, CRM/Ticketing, or LLM-based products.Hands-on experience defining business logic, decision trees, or automated workflows.Experience with enterprises such as airlines, BFSI, telecom, retail, or large-scale customer support environments.Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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We are looking for the bestUMOS ONE은 현대자동차그룹의 글로벌 소프트웨어(SW)센터인 포티투닷(42dot)의 자회사로, UMOS (Urban Mobility Operating System) 사업을 전개하는 기업입니다. '모든 것이 스스로 움직이고 연결되는 세상'이라는 비전 아래, 미래 도심형 모빌리티 서비스의 시작부터 끝까지 전 과정을 아우르는 통합 플랫폼을 개발하고 있습니다.주요 솔루션으로는 모빌리티 서비스 'TAP!', 차량 관제/운영 시스템 'Pleos Fleet', AI 기반 운송 관리 시스템 'Capora' 등이 있으며, SDV(Software Defined Vehicle) 기반 기술의 상용화를 이끌며 미래 모빌리티 서비스의 중심을 이끌고자 합니다. * 본 채용건은 포티투닷 채용이 아닌 자회사 UMOS ONE 채용입니다. Why join UMOS ONE빠른 실행력으로 판을 바꿀 당신을 기다립니다!우리는 지금, ‘TAP!(탭)’ 모빌리티 서비스부터 차량 운영 시스템 Pleos Fleet, AI 기반 운송관리 시스템 Capora까지 – SDV(Software Defined Vehicle) 기반 기술을 현실로 만들고 있습니다. 빠르게 변화하는 시장 속, 복잡한 문제를 날카롭게 분석하고 정확한 솔루션으로 밀어붙이는 실행력 있는 동료가 필요합니다.함께 크는 팀, 같이 가는 성장UMOS ONE의 문화는 단순한 협업을 넘어, 서로의 성장을 진심으로 응원하는 팀워크에 기반합니다. 혼자 잘하는 것보다 함께 잘하는 팀을 만드는 것을 목표로 치열하지만 따뜻한 분위기 속에서, 성장 욕심 많은 사람들끼리 시너지를 내며 진짜 재미있는 도전을 이어나갈 동료를 모십니다.ResponsibilitiesAgentic AI 시스템 설계 및 개발UMOS 플랫폼의 자율적 의사결정 시스템 (Agentic AI System)의 핵심 아키텍처 및 모듈 설계AI 기반 라우팅, 디스패칭, 예측 모델을 실제 서비스 운영 로직으로 통합하는 에이전트 시스템 개발Mobility 및 Logistics 운영 환경의 동적 변화에 실시간으로 반응하고 최적의 결정을 내리는 SW 로직 구현지식 그래프 (Knowledge Graph) 기반의 정보를 활용하여 에이전트의 의사결정 능력 강화에이전트 시스템의 안정성과 확장성을 보장하기 위한 분산 시스템 설계 및 운영테스트 및 검증 환경 구축Agentic AI 시스템의 복잡한 로직 및 의사결정 과정을 검증하기 위한 시뮬레이션 및 테스트 환경 개발운영 중인 에이전트 시스템의 성능, 행동, 안전성을 모니터링하고 분석하는 툴 개발Qualifications5년 이상의 백엔드 시스템 또는 Agentic AI 시스템 개발Java, Kotlin, Go, Python 등 주력 백엔드 언어에 능숙하며, 객체 지향 설계 (OOP) 및 디자인 패턴에 대한 이해가 높은 분Agentic AI, Multi-Agent System, Optimization Logic 등 지능형 시스템 설계에 대한 관심 및 이해RESTful API, MCP, A2A 설계 및 서비스 통합 경험Preferred QualificationsAgentic Frameworks (예: LangChain, CrewAI 등) 또는 관련 기술 스택 연구 및 적용 경험최적화 문제 (Optimization Problem) 해결을 위한 알고리즘 설계 및 SW 구현 경험Knowledge Graph 또는 Graph Database의 서비스 레벨 연동 경험클라우드 기반 Microservices (MSA) 환경에서 Kubernetes/Docker를 활용한 운영 경험Mobility, Logistics 등 실시간 동적 시스템 도메인 서비스 개발 경험시스템 시뮬레이션 또는 모델 검증을 위한 SW 개발 경험Interview Process서류전형 - 코딩테스트 - 1차면접 (1시간 내외) - 2차면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information근무지: 서울 서초구 신논현역 부근본 채용의 입사는 자회사 UMOS ONE 으로 입사 진행 됩니다.UMOS ONE은 자체 Employee Engagement Program을 제공합니다.이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.UMOS ONE은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.

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We are looking for the bestUMOS ONE은 현대자동차그룹의 글로벌 소프트웨어(SW)센터인 포티투닷(42dot)의 자회사로, UMOS (Urban Mobility Operating System) 사업을 전개하는 기업입니다. '모든 것이 스스로 움직이고 연결되는 세상'이라는 비전 아래, 미래 도심형 모빌리티 서비스의 시작부터 끝까지 전 과정을 아우르는 통합 플랫폼을 개발하고 있습니다.주요 솔루션으로는 모빌리티 서비스 'TAP!', 차량 관제/운영 시스템 'Pleos Fleet', AI 기반 운송 관리 시스템 'Capora' 등이 있으며, SDV(Software Defined Vehicle) 기반 기술의 상용화를 이끌며 미래 모빌리티 서비스의 중심을 이끌고자 합니다. * 본 채용건은 포티투닷 채용이 아닌 자회사 UMOS ONE 채용입니다. Why join UMOS ONE빠른 실행력으로 판을 바꿀 당신을 기다립니다!우리는 지금, ‘TAP!(탭)’ 모빌리티 서비스부터 차량 운영 시스템 Pleos Fleet, AI 기반 운송관리 시스템 Capora까지 – SDV(Software Defined Vehicle) 기반 기술을 현실로 만들고 있습니다. 빠르게 변화하는 시장 속, 복잡한 문제를 날카롭게 분석하고 정확한 솔루션으로 밀어붙이는 실행력 있는 동료가 필요합니다.함께 크는 팀, 같이 가는 성장UMOS ONE의 문화는 단순한 협업을 넘어, 서로의 성장을 진심으로 응원하는 팀워크에 기반합니다. 혼자 잘하는 것보다 함께 잘하는 팀을 만드는 것을 목표로 치열하지만 따뜻한 분위기 속에서, 성장 욕심 많은 사람들끼리 시너지를 내며 진짜 재미있는 도전을 이어나갈 동료를 모십니다.Responsibilities클라우드 환경에서 동작하는 확장성 높은 백엔드 서비스의 설계 및 개발AI 기반 기능(가격 예측, 경로 최적화, 자동화 서비스 등)을 위한 백엔드 및 알고리즘 개발외부 파트너 및 기업 고객과의 안정적인 B2B API 연동 개발기능 요구사항 분석 및 API 인터페이스 구조 설계서비스 성능 모니터링 및 구조적 개선을 위한 지속적 리팩터링코드 리뷰 및 기술적 의사결정에 참여하여 품질 향상 기여클라우드·컨테이너 기반 환경에서 운영되는 서비스의 안정성·고가용성 확보QualificationsJava/Kotlin 및 Spring Boot 기반 웹 애플리케이션 개발 경험 5년 이상AWS 기반 인프라와 Kubernetes(K8S) 환경에서의 서비스 개발·운영 경험 3년 이상SQL 및 NoSQL 데이터베이스 모델링·운영 경험 3년 이상Redis, Kafka 등 분산 환경 기반 메시징/캐시 시스템 활용 경험Git, Jira 등 협업 도구 활용 및 CI/CD 기반 개발 경험RESTful API 개발 및 대규모 서비스 운영 경험Native SQL 활용 능력 및 데이터 구조·쿼리 최적화 경험Preferred Qualifications대규모 사용자(B2B2C 등)를 대상으로 한 서비스 아키텍처 설계 및 운영 경험서비스 자동화 또는 백엔드 알고리즘 개발 경험고트래픽 환경에서의 시스템 최적화 및 고가용성 아키텍처 구축 경험모바일 앱 또는 SDK와의 연동 API 개발 경험SaaS/PaaS 형태의 서비스 설계 및 개발 경험WebSocket, WebRTC 등 실시간 통신 기반 서비스 개발 경험gRPC 기반 서비스 설계 및 구축 경험클라우드 기반 컨테이너 오케스트레이션 및 MSA 운영 경험LLM, NLP, Chatbot 등 AI 기술을 활용한 기능 개발 경험React.js 등 프런트엔드 기술에 대한 이해 또는 협업 경험Interview Process서류전형 - 코딩테스트 - 1차면접 (1시간 내외) - 2차면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information근무지: 서울 서초구 신논현역 부근본 채용의 입사는 자회사 UMOS ONE 으로 입사 진행 됩니다.UMOS ONE은 자체 Employee Engagement Program을 제공합니다.이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.UMOS ONE은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.

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About the RoleOur technology is raising strong interest from the engineering world, and the number of our users is growing quickly. As a key player in the Application Team, your mission will be to help industry leaders to redefine their product design workflow with the latest technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier clients worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you.What you will do Implement projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python Apply our deep-learning tools to different engineering/physics problemsDeliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE and manufacturing workflows. Train customer teams to effectively use the NC platform, ensuring smooth AI adoption into their workflowsWork closely with the product team to translate customer feedback into product improvements. Who you are You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leaders.You have an excellent understanding of both Engineering and Machine Learning (strict requirement)You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus You hold a master’s degree in engineering, Applied Mathematics, or Physics You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing roleYou can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way What You Get Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.Enjoy 25 days of paid vacations per year, healthcare 100% offered by the company (medical/vision/dental), 401K matchingWhere You Will BeNew Jersey officeTravelling: This position will require travelling to customer locations in the US.Start date: ASAPEligibility: Applicants with a valid work permit in the USA. We do not provide a sponsorship for the US visa.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!We are looking for an SDE II – Agentic Engineer to build and scale agentic workflows and tools using Netomi’s no-code platform. This role requires strong software engineering fundamentals combined with prompt engineering and API-driven automation to power reliable, autonomous AI agents.Key ResponsibilitiesDesign and write high-quality prompts for LLM-based agents (GPT-class models preferred).Build agentic tools and workflows using Netomi’s no-code platform (similar to Workato, Zapier, n8n).Integrate external and internal APIs, including authentication, data mapping, and error handling.Implement unit tests, debug issues, and ensure reliability of agent workflows.Apply engineering best practices and design patterns such as retries, timeouts, idempotency, and lazy loading.Optimize agents for performance, cost, and fault tolerance.Collaborate with Product, QA, and Delivery teams to ship production-grade agentic solutions.Required Skills & Qualifications3–6 years of experience as a Software Development Engineer or similar role.Strong understanding of prompt engineering and LLM behavior.Hands-on experience with REST APIs, webhooks, and JSON-based integrations.Solid experience in unit testing, debugging, and troubleshooting.Knowledge of resilient system design patterns and non-happy path handling.Nice to HaveExperience with no-code/low-code automation platforms.Exposure to agentic AI, conversational AI, or workflow orchestration systems.Familiarity with observability and monitoring in production systems.Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!About the RoleAs an Agentic Product Manager at Netomi, you will be the strategic and technical owner responsible for designing, architecting, and deploying large-scale Agentic AI solutions for enterprise customers. You will translate complex business processes into AI-driven workflows, define integration blueprints, and guide customers through their transformation to autonomous AI agents. You will work closely with Customers, CSM, Integration Engineers, QA, Product, and Engineering to ensure end-to-end success of every deployment.ResponsibilitiesLead discovery sessions with enterprise customers to understand business processes, operations, workflows, KPIs, and constraints.Identify automation opportunities and design agentic orchestration strategies using Netomi’s AI platform.Build detailed solution blueprints — workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design.Define end-to-end Agentic AI architectures, covering intents, actions, tools, integration points, and decision logic.Work with customer technical teams to map integration dependencies (APIs, events, SSO, CRMs, ticketing systems, internal tools).Own the creation of integration design documents and support Integration Engineers during implementation.Ensure agent workflows comply with enterprise standards (security, reliability, audit, governance).Collaborate with Product & Engineering to translate customer requirements into features or enhancements.Serve as the product owner during deployment — driving priorities, clarifications, acceptance criteria, and workflow evolution.Validate solution behavior end-to-end with QA and guide test plans, scenario tests, and success criteria.Conduct user-experience reviews of agent outputs and behavior tuning.Act as a trusted advisor to customer stakeholders (CX, Ops, Digital Transformation, Engineering).Present architectural recommendations, best practices, and roadmap suggestions.Train customer teams on agentic workflows, governance, and performance improvement strategies.Ensure projects are delivered on time with high quality, low rework, and measurable impact.Drive continuous improvement through playbooks, reusable workflow templates, and integration patterns.Maintain deep expertise in agentic AI, LLMs, workflow orchestration, and enterprise systems.Requirements6-10 years in Solutions Architecture / Implementation Consulting / Product Consulting / Workflow Design for enterprise SaaS or AI platforms.Experience designing complex workflows and integrations across enterprise systems.Ability to gather requirements, translate them into technical specifications, and drive execution.Customer-facing consulting experience with strong communication & facilitation skills.Understanding of REST APIs, event-driven systems, data flows, and enterprise integrations.Experience working cross-functionally with CSM, engineering, product, and QA teams.Nice-to-HaveBackground in Conversational AI, Agentic AI, RPA, Automation, CRM/Ticketing, or LLM-based products.Hands-on experience defining business logic, decision trees, or automated workflows.Experience with enterprises such as airlines, BFSI, telecom, retail, or large-scale customer support environments.Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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About the RoleMaki is building the AI-powered solution that transforms talent acquisition and talent management. As a software engineer, you will have ownership over the full lifecycle of our AI products. You will:Scope and lead technical projects with a full-stack perspective, balancing speed and quality.Build reliable systems out of unpredictable components. You will figure out how to make AI agents consistently effective in a real-world environment.Keep our stack on the bleeding edge by leveraging the latest advancements in LLMs, vision models, and agent architectures.Work cross-functionally to unblock growth. You will collaborate with stakeholders to identify user pain points and engineer solutions that solve them immediately.Who You AreWe’re looking for fast-moving, product-minded full-stack engineers who want to have outsized impact and ownership on a lean, high-performing team. We’re looking for someone who is:Autonomous: You drive projects to completion and thrive in environments where you can take the lead.Forward-Thinking: You are fascinated by the potential of AI and want to be hands-on in applying these technologies.Foundational: You want to be part of a high-growth journey, helping us build our technology and our culture from the ground up.As for our tech stack:BackendTypescript, Python, PostgreSQL, Google CloudFrontendReactJS, Typescript, GraphQLWe are optimizing for the best talent and offer competitive compensation to match. If you're excited about redefining the future of AI-powered hiring, we’d love to hear from you!Recruitment ProcessMochi Screening: Experience our product firsthand.Hiring Manager Interview.Coding Assessment.System Design Interview.Final Round with the CEO.

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About the Science TeamAt the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart.We don’t just create and validate assessments—we innovate. Our work spans:Expanding a cutting-edge library of tests and tools.Designing bespoke activities and experiences for clients.Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency.Leveraging psychometric expertise to build reliable, valid, and impactful assessments.Developing tools that analyse candidate and job data to predict performance and potential with precision.Supporting clients in using assessment data to optimise their workforce strategies, from talent acquisition to development and retention.Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports.Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices.Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively.As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards.Your impact as a Senior Business Psychologist will go beyond day-to-day responsibilities— you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients.About the RoleApply psychological theories and methodologies to improve our assessment and selection proceduresConduct research and analysis to identify key psychological factors and competencies relevant to various job roles and industriesCreating custom assessments and competency frameworks tailored to client needs and psychometric standardsEnsure that our test bank is diverse, inclusive, and covers the core competencies aligned with the future of work.Building strong client relationships, guiding them through the assessment lifecycle—from needs analysis to results interpretationWorking closely with Onboarding, Customer Success, Psychometricians and Assessment Operations to ensure high-quality, scalable, and impactful assessmentsCommunicating validation studies and statistical insights in clear, actionable ways for non-technical audiencesShare insights and information to external stakeholders on how AI technologies are integrated into our assessments, highlighting their purpose, functionality, and impactEnsuring that test development and AI-driven hiring systems adhere to the highest ethical and compliance standards.Assist in training and educating internal teams on psychological best practices in talent acquisitionStay updated on I/O psychology and AI research, applying insights to product development.Contributing to the completion of client proposals by providing expert input on science-related matters, ensuring the scientific rigor, validity, and innovation of our solutions are effectively communicated to win key deals.Represent Maki People by presenting actionable insights and findings at key industry conferences, bridging scientific rigor with practical business applications.Our ideal candidateExperience in job analysis and developing competency frameworks for clients.Excellent understanding of AI applications in assessments.Deep understanding of ethical considerations and compliance standards in the development and application of assessments, especially those integrating AI technologies.Proven ability to translate technical concepts for diverse audiences, advocating for an evidence-based approachin business discussions.Expert knowledge in assessment design, validation studies, and psychometric methods.Strong interpersonal and relationship-building skills to effectively collaborate with internal teams, clients, and external stakeholders.Advanced research skills to design and execute studies that drive innovative assessment solutions and contribute to thought leadership.Proven ability to manage multiple projects simultaneously, ensuring timely delivery and adherence to quality standards.Familiarity with industry-specific challenges and trends, enabling the customisation of assessments to diverse sectors and job roles.Strong writing skills for creating professional documentation, including technical reports, white papers, and client-facing materials.Experience with data analysis or programming tools (e.g. SPSS, JASP, Mplus, R, Python) for psychometric analysis and research.Strong knowledge of test content creation and review processes.Expertise in assessment design and item-writing best practices, ensuring cultural fairness and minimizing bias in assessments.Comfortable with public speaking and presenting findings at conferences, webinars, and client meetings to represent the organisation effectively.Awareness of diversity, equity, and inclusion principles, applying them to ensure assessments promote fair and unbiased hiring decisions.Understanding automated scoring systems and their ethical considerations.Application ProcessStage 1 - Screening assessment (20 mins)Stage 2 - Hiring manager interview (45 min)Stage 3 - Power skill assessment with our AI agent (15 min)Stage 4 - Executive interview (45 min)Stage 5 - Deep-dive technical interview (60 min)Stage 6 - Interview with Co-founder (30 min)

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About the Science TeamAt the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart.We don’t just create and validate assessments—we innovate. Our work spans:Expanding a cutting-edge library of tests and tools.Designing bespoke activities and experiences for clients.Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency.Leveraging psychometric expertise to build reliable, valid, and impactful assessments.Developing tools that analyze candidate and job data to predict performance and potential with precision.Supporting clients in using assessment data to optimize their workforce strategies, from talent acquisition to development and retention.Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports.Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices.Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively.As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards.Your impact as a Senior Psychometrician will go beyond day-to-day responsibilities— you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients.About the RoleDesign, create and validate psychometric assessments optimised for AI integration, ensuring tools are scientifically rigorous and actionable.Exploring new ways of generating and evaluating assessments by integrating psychometrics with machine learning algorithms.Perform complex analyses, focusing on item calibration, test equating, norming, distractor analysis, fairness evaluation, reliability and validation studies.Develop and refine automated scoring algorithms to provide precise and unbiased candidate evaluations.Monitor assessments for potential bias and ensure adherence to ethical guidelines and best practices.Conduct research to identify novel psychometric solutions that enhance the functionality and effectiveness of AI-driven talent assessments.Implement improvements to existing assessments, leveraging the latest psychometric advancements to enhance candidate engagement and experience.Serve as a thought leader in integrating AI and psychometrics, keeping the team informed about the latest innovations and industry trends.Develop documentation, including test manuals, technical reports, and white papers, to communicate the scientific foundations, methodologies, and validity evidence of assessments to external stakeholders.Contribute to developing resources and educational materials that help clients understand AI-enhanced assessments and their implications.Publish innovative research in high-impact academic journals, and represent Maki People by presenting findings at key conferences.Collaborate with cross-functional teams, including I/O psychologists, AI researchers, and software developers, to seamlessly embed assessments into our platform.Translate complex psychometric findings into clear, actionable insights for clients and external partners.Our Ideal CandidateProven academic publication record in psychometrics or related fields, advancing assessment methodologies.Experience in test design for diverse applications, including custom solutions tailored to client needs.Ability to design, develop, and implement automated scoring systems, ensuring accuracy and fairness.Expertise in conducting complex statistical analyses.Deep knowledge of psychometric methods such as factor analysis, SEM, CTT, IRT, CAT, and test equating.Experience in AI/ML applications for assessment, such as prediction modelling and person-job fit analysis.Strong technical documentation and research writing skills.Robust validation study expertise, ensuring assessment reliability, validity, and practical relevance.Proficiency in automated item generation and recalibration, optimising item pools.Strong knowledge on integrating emerging technologies like large language models (LLMs) into psychometric assessment practicesExperience with programming languages such as R, Python, Julia, or similar, and proficiency in statistical software like SPSS, SAS, JASP, Mplus, or equivalent tools.Good working knowledge of working with cloud databases, such as BigQuery, with expertise in extracting and analysing relevant data.Additional ExpertiseStrong understanding of ethical considerations in data governance, AI fairness, and compliance.A proven track record in multi-team collaboration, particularly with software developers and content teams.Skilled in data visualisation and reporting, turning statistical insights into actionable recommendations.Demonstrated ability to present complex concepts persuasively in business discussions.Application ProcessStage 1 - Screening assessment (20 mins)Stage 2 - Hiring manager interview (45 min)Stage 3 - Power skill assessment with our AI agent (15 min)Stage 4 - Executive interview (45 min)Stage 5 - Deep-dive technical interview (60 min)Stage 6 - Interview with Co-founder (30 min)

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We are hiring AI deployment architects to configure, deploy, and evolve our agents for enterprise customers. This role sits at the intersection of product, engineering, and customer delivery ; you will translate business requirements into robust configurations, ensure each deployment reflects client needs, and iterate rapidly to maintain high performance and system stability.You will be a primary technical partner to our customers, guiding them through configuration decisions, troubleshooting complex behaviors, and shaping how they design and operationalize AI-driven screening. You will also act as a critical feedback conduit between the field and the product team, surfacing patterns that should be platformized and validating new capabilities with real-world customers.This is a highly technical & hands-on role. As deployments accelerate across industries and geographies, you will help define the standards, tools, and best practices that make our agents scalable.What you will doConfiguration and deploymentBuild and adapt screening flows based on customer jobs and requirements.Configure state prompts, tone parameters, voice selection, transitions, and conditional logic.Set up and maintain custom vocabularies for ASR when relevant.Prepare and run demos; support pilot implementations from start to finish.Troubleshooting and iterationAnalyze conversation transcripts and identify sources of errors or drift.Run isolated state tests for targeted debugging.Iterate rapidly on prompts and configurations to improve performance.Use SQL to investigate behavioral patterns, identify systemic issues, and validate improvements.Client partnershipAdvise customers on screening design, personas, and best practices for AI-driven interviews.Communicate technical concepts, limitations, and trade-offs clearly.Manage expectations during pilots; build structured feedback loops that drive continuous improvement.Act as a trusted guide throughout deployment and iteration cycles.Product collaborationSurface recurring field issues that should become productized solutions.Contribute insights that shape new configuration surfaces, evaluation tools, and system-level capabilities.Partner with product and engineering teams to test new features with selected customers and validate readiness for scale.What makes this role uniqueYou sit closest to real-world usage; your insights will directly shape how our agents evolve.You bridge product and customer needs, ensuring enterprise deployments remain robust, predictable, and high performing.You influence how AI-driven hiring is operationalized across the world’s leading companies.You will help define repeatable playbooks, tools, and standards that allow the deployment function to scale.As the first hire fully dedicated to this function, you will shape the boundaries of the role itself and set the industry bar for what excellence looks like in full-deployment engineering for conversational AI.Preferred experienceExperienceGraduated from top engineering school or business/engineering dual-degreePrior client-facing technical experience, ideally supporting enterprise implementations.Technical skillsHands-on work with conversational AI, LLM prompting, applied ML models, or workflow-based configuration.Ability to debug state logic, model outputs, and configuration inconsistencies.SQL proficiency for analytics and performance investigation.Comfort with light scripting and structured configuration formats.Analytical and product mindsetStrong ability to reason about system constraints and edge cases.Ability to distinguish between local configuration work and product-level feature needs.Structured approach to experimentation and iteration.Client-facing abilitiesClear and concise communication with both technical and non-technical stakeholders.Ability to present, educate, and manage expectations during pilots and demos.Confidence in advising customers and steering conversations.Recruitment processStage 1 - Screening call with our agent (15 min)Stage 2 - Hiring manager interview (45 min)Stage 2 - Implementation lead interview (45 min)Stage 3 - Deep-dive technical interview (60 min)Stage 4 - Founder interview (45 min)Stage 5 - Offer and alignment discussion

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Senior Machine Learning EngineerFull-time | Munich | Seed Stage | Equity + SalaryHelp Build a Generational CompanyAt Knowlix, we’re on a mission to 10x small businesses' productivity. We strive to become the dominant small business platform for human-AI and AI-to-AI collaboration.We’re still early, but we’re thinking big. This is your opportunity to help shape a product that serves millions and defines a category.We move fast, ship often, and obsess over quality. If you burn to build, ship, and scale - and you love using AI to make things radically better - this is your seat at the table.Why Knowlix, Why NowWe're a well-funded seed-stage startup, backed by top-tier investors and experienced foundersOur tech works - and first users are already feeling the first magicWe're going after a massive market, with a product that changes how people workYou’ll be joining as one of the earliest team members - with real influence and ownership over the trajectory of the companyWe believe speed is a function of focus + iterationThis isn’t a job. It’s a chance to help build a once-in-a-generation company if we do things right. The RoleYou will design and ship advanced ML systems - especially LLM-driven agents and self-improving workflows. You’ll build robust data and training pipelines, enable fast experimentation, and ensure models and agents continuously improve in production. This is a hands-on role in a fast-moving startup where you ship, measure, and iterate quickly. What You'll DoBuild LLM-based agents, tool-using workflows, and autonomous self-improvement loops.Design, train, and evaluate ML models across NLP/LLM, vision, and retrieval domains.Develop data pipelines, training code, experiment tooling, and automated deployment systems.Use PyTorch for model development and W&B (or similar) for tracking experiments and lineage.Implement monitoring for performance, drift, safety, and agent behavior.Optimize inference for latency, throughput, and cost.Work closely with engineering and product to turn prototypes into reliable production features.Establish ML engineering best practices and mentor teammates.What You Bring (Requirements)5+ years experience deploying ML systems to production.Strong Python and deep experience with PyTorch.Hands-on experience with LLMs, retrieval (RAG), tool-use, or agent frameworks (e.g., LangGraph, AutoGen).Strong command of experiment management, versioning, and reproducibility using tools like W&B, MLflow, or similar.Solid understanding of data engineering and cloud infrastructure for ML workloads.Ability to take ambiguous ideas to production in a fast-paced startup environment.You’ll Thrive Here If You… (Preferred)Experience with reinforcement learning, self-evaluating or self-correcting agents.Publications or patents.Experience with model compression/optimization (quantization, distillation).Familiarity with safety evaluation, alignment techniques, and responsible AI practices.What You’ll GetA path-defining role in a high-upside company backed by world-class investorsDeep ownership and equityA team that cares deeply about what we’re building and the people we build it withA rare chance to leave your mark on something that has the opportunity to become generational