How you can help make a better world of work

We're looking for an Engineer to join the AI Research & Experience team, helping build critical components for AI Coach - Culture Amp's contextually-aware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale.

You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems. 

What you'll do

• Staying up to date with current research, literature and provider offerings. 
• Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations.
• Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context
• Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice.
• Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology.
• Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness
• Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning.

What we're looking for

Must Haves:

• Proven commercial experience taking ML/AI systems to production.
• Strong technical writer and communicator
• Full stack software development experience, ideally Python, React, PGVector
• Strong software engineering fundamentals - you write clean, tested, maintainable code. 
• You leverage Software development AI tooling effectively.
• Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
• You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability.