AI Full-Stack Engineer Jobs

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Create challenging coding test cases that push AI coding systems to their limits; review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements, and information sources; write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks; craft "fair but hard" challenges where the AI has all the context it needs but has to work for it (information scattered across files and external sources, complex reasoning required); analyze AI failures to understand what the model struggles with versus what it masters; iterate based on feedback from expert QA reviewers who score work on seven quality criteria.

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Create challenging coding test cases that push AI coding systems to their limits by reviewing and refining realistic coding tasks based on provided production codebases with realistic scope, requirements, and information sources. Write comprehensive functional tests that validate actual end-to-end behavior and edge cases, not just superficial checks. Craft "fair but hard" challenges where the AI has all the context it needs but must work for it, with information scattered across files and external sources requiring complex reasoning. Analyze AI failures to understand what the model struggles with versus what it masters. Iterate based on feedback from expert QA reviewers who score work on seven quality criteria.

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As an Associate Forward Deployed Engineer, the responsibilities include working alongside senior engineers and directly with customers, who are leading AI labs, to solve pressing technical challenges. The role involves supporting the design and deployment of solutions that impact customer workflows and model performance, working across the stack, shipping quickly, and iterating based on real-world feedback. Tasks include partnering with AI labs and internal teams to identify needs and gather requirements, supporting solution design, working on custom asks from customers to prototype and deploy tailored solutions, tackling complex technical problems with support from senior engineers, taking increasing ownership from concept through deployment, rapidly prototyping, testing, and iterating on tools in response to real-time feedback, contributing to architectural discussions, helping establish best practices for reliability, scalability, and security, and documenting solutions to create technical playbooks for repeatable and scalable deployment processes.

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The Full Stack Engineer is responsible for configuring and developing "skills" for foundation models such as Claude and Gemini to automate content generation, marketing flows, and business processes. They develop and scale applications within the JavaScript/TypeScript ecosystem using React, integrating AI agents and automation. They create automated content generation systems for various platforms including Substack, blogs, social media, and personalized email marketing. They design and implement sophisticated workflow automations using platforms like Make.com or n8n to bridge data between systems such as EHR tools like Cerbo. The role includes managing PostgreSQL databases (Neon/AWS) and deployment within a Linux/Bash-heavy environment. Additionally, they help implement and refine voice AI solutions for call overflows and appointment scheduling, for example via GoHighLevel integrations. They manage and deploy applications on AWS (EC2) focusing on security and HIPAA compliance, configure and implement AI skills across various foundation models, collaborate with AI automation experts to design scalable efficient solutions, and establish coding standards and best practices for AI-driven development.

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As a Fullstack Engineer at Inflection AI, you will own the platforms, systems, and user-facing experiences that bring conversational AI to life at scale. Responsibilities include designing and implementing scalable backend systems and APIs that power production large-language model (LLM) experiences, such as agentic workflows, memory systems, and tool integrations. You will architect and operate high-availability infrastructure to support real-time inference, retrieval, and conversation pipelines and build distributed systems and asynchronous workflows for AI-driven features and external integrations. You must ensure high standards for performance, reliability, and security through load testing, monitoring, automation, and incident response, and participate in on-call rotations to maintain service reliability. On the frontend, you will develop performant, accessible, and responsive web applications, build reusable UI components and design systems using modern frameworks like React, TypeScript, Node.js, and Tailwind, integrate frontend applications with complex backend APIs and real-time data pipelines, and collaborate with product and design teams to prototype, test, and iterate on AI-powered features. You will optimize frontend performance, observability, and user experience at scale. Additionally, you will develop internal platforms to improve engineering productivity such as CI/CD pipelines, service templates, observability frameworks, and rollout tooling, and collaborate with applied research teams to productionize experimental AI systems into user-ready features.

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As a Fullstack Engineer (Backend & Frontend) at Inflection AI, you will be responsible for owning the platforms, systems, and user-facing experiences that power conversational AI at scale. On the backend, this includes designing and implementing scalable backend systems and APIs for production LLM experiences, architecting and operating high-availability infrastructure for real-time inference and conversational pipelines, building distributed systems and asynchronous workflows, ensuring performance, reliability, and security through load testing, monitoring, and automation, and participating in on-call rotations to maintain service reliability. On the frontend, responsibilities include developing performant, accessible, and responsive web applications, building reusable UI components and design systems with frameworks such as React, TypeScript, Node.js, and Tailwind, integrating frontend with complex backend APIs and real-time data, partnering with product and design teams to prototype and iterate new AI features, and optimizing frontend performance and user experience at scale. Additionally, you will develop internal platforms to enhance engineering productivity such as CI/CD pipelines and observability frameworks, and collaborate with applied research to productionize experimental AI systems into robust features.

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Design and develop Flowith's Android platform products, focusing on architecture design and core development to ensure optimal app performance. Implement and optimize AI features for mobile applications, integrating advanced AI capabilities deeply on mobile devices. Collaborate with product, design, and backend teams to create exceptional user experiences that cross technical and business boundaries. Explore and implement cutting-edge Android technologies and frameworks continuously. Conduct code reviews and performance optimizations to maintain high code quality. Participate in Vibe Coding sessions, dedicating 70% to 99% of time to collaborative programming in a creative and dynamic environment.

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As a Full-Stack Engineer at Flowith, you will be responsible for independently or collaboratively leading the full-stack development of Flowith's core modules crossing front-end and back-end boundaries to deliver highly available and scalable system code. You will deeply integrate advanced AI algorithms and complex models into the product flow to create intelligent interactive experiences, work closely with product managers, designers, and AI engineers in a creative environment to implement innovative AI concepts, automate deployments and manage continuous integration on mainstream cloud infrastructure while monitoring and optimizing system performance and resource usage. Additionally, you will participate in the design evolution of the core architecture, conduct in-depth code reviews, and help accumulate technical components and best practices to elevate the engineering standards of the team.

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The AI Growth Engineer is responsible for rapidly building and shipping scrappy 0→1 solutions across multiple tech stacks to capture growth opportunities, collaborating closely with AI Researchers to explore State-of-the-Art (SOTA) models for use within the Agent Opus platform, and spending roughly 30% of their time on iterative, data-driven work focused on user expansion. They work cross-functionally daily with growth marketers, product managers, and data teams to align on priorities, define metrics, and achieve measurable impact. Additionally, they dedicate about 30% of their time to operational tasks such as SEO initiatives, ads execution, B2B leads sourcing, and answering critical data questions, while serving as strong communicators to advocate ideas, drive global team alignment, and present data-driven recommendations to leadership.

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The responsibilities include owning the end-to-end development lifecycle for new enterprise products, collaborating closely with product, design, and external customers to understand problems and implement effective solutions, and working with the research team to improve the next generation of models.