Deployment Strategist - ANZ
As a Forward Deployed Engineer Strategist, your responsibilities include meeting with strategic customers to understand their critical audio and voice AI needs and identifying their biggest pain points. You will identify relevant use cases through deep engagement with customer problems and workflows and work with engineers to implement voice and audio AI technology into innovative solutions. You will design and architect bespoke integrations for customers to ensure seamless fit of technology into their products and operations, guide customers on best practices for implementing voice and audio AI models, and present results and future proposals to technical teams and C-suite executives. You will collaborate with Research and Product teams to incorporate field insights into software products and AI models, build and deliver demos of voice and audio AI technology to customers, scope out potential applications in new industries, expand AI solutions globally, take ownership of end-to-end execution of major projects for strategic partners, and collaborate daily with customers' engineering and executive teams for optimal implementation.
Senior Full Stack Engineer
Design, architect, and operate scalable services and APIs that power the LLM compliance platform. Architect how AI insights are surfaced to users, ensuring the system is robust, fast, and intuitive. Make high-impact technical decisions quickly. Challenge "why" and "how" to ensure delivery of the best possible experience for users. Shape engineering culture, standards, and tooling as the company grows. Own end-to-end technical decisions including designing systems, architecting solutions, shipping to production, and iterating based on customer feedback.
Parcel Contract Intelligence Consultant
Ship critical infrastructure by managing real-world logistics and financial data for the largest enterprise in the world. Own the why by building deep context through customer calls and understanding Loop’s value to customers, pushing back on requirements if a better, faster solution exists. Work across system boundaries with full-stack proficiency, including frontend UX, LLM agents, database schema, and event infrastructures. Leverage AI tools to automate boilerplate work, focusing on quality, architecture, and product taste. Constantly optimize development loops, refactor legacy patterns, automate workflows, and fix broken processes to raise the velocity bar.
Senior Software Engineer (Builders)
Design, build, and operate scalable back-end systems that power AI agent and workflow builders. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours. Shape how engineering is done by influencing standards, architecture, and processes as the company scales. Mentor and support engineers across the team to raise the technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership to align technical direction with business outcomes.
Senior Software Engineer (Chat)
Design, build, and operate scalable back-end systems that power real-time, AI-driven chat experiences. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflows, and system behaviours. Shape engineering standards, architecture, and processes as the company scales. Mentor and support engineers across the team, raising the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership to align technical direction with business outcomes.
Staff Software Engineer (Builders)
Design, build, and operate scalable back-end systems that power AI agent and workflow builders. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours. Shape how the engineering team builds by influencing engineering standards, architecture, and processes as the company scales. Mentor and support engineers across the team to raise the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership teams to align technical direction with business outcomes.
Signal Engineer
The Signal Engineer will build pipelines that ingest, clean, deduplicate, filter, and score training data at terabyte to petabyte scale. They will develop quality classifiers and heuristics to separate useful data from the rest, design dataset mixtures, and conduct experiments to determine what improves the model. The engineer will also create tools to explore, sample, and audit the corpus, and work closely with researchers and training engineers to ensure data choices connect to model behavior.
Distribution Engineer (Matilda)
The Distribution Engineer will design and operate AI-driven systems that generate, test, and scale how Matilda reaches users. Responsibilities include building AI agent pipelines that generate, test, and optimize ads, content, and messaging at scale; developing growth systems across paid, organic, and owned channels; creating experimentation frameworks to continuously improve performance across the funnel; implementing real-time feedback loops wired into data sources and APIs for decision making; and constructing a compounding distribution engine that improves without manual intervention.
Mathematics & Python Expert - Freelance AI Trainer
Contributors may design original computational mathematics problems that simulate real mathematical research workflows, create problems requiring Python programming to solve (using Numpy, SciPy, Sympy), ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks), develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis, base problems on real research challenges or practical applications from mathematical practice, verify solutions using Python with standard mathematical libraries, and document problem statements clearly while providing verified correct answers.
Optical Engineer - Freelance AI Trainer
Design original optics problems that simulate real physics research workflows; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; base problems on real research challenges or practical applications from optics and physics practice; document problem statements clearly and provide verified correct answers.
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