This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We're looking for a Senior Engineer to join the AI Research & Experience team, helping build 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.
Job Responsibility:
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
Partner closely with product, design, and people science to ensure the features developed are fit for purpose
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
Requirements:
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 leverage Software development AI tooling effectively
Experience with LLM application development (prompt and context engineering, RAG, agent architectures)
Hands-on experience designing and integrating data pipelines
A pragmatic, solution-focused mindset
You fit our values with the proactivity to take risks, and the humility to learn in public
Nice to have:
Experience at startups or founding teams
Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field
Evidence of taking cutting-edge (relevant) techniques from paper to production
Experience with evaluation/benchmarking frameworks for AI systems
Experience integrating scalable solutions such as advanced Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities
Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j)
Familiarity with people analytics, HR tech, or behavioral science applications
Contributions to data ethics, algorithmic fairness, or responsible AI initiatives
Open source contributions or public technical writing
What we offer:
Employee Share Options Program
Programs, coaching, and budgets to help you thrive personally and professionally
Access to external providers for mental wellbeing and coaching support
Monthly Camper Life Allowance
Team budgets dedicated to team building activities and connection
Intentional quarterly wellbeing pauses
Extended year-end breaks
Excellent parental leave and in work support program available from day 1
5 Social Impact Days a year
MacBooks for you to do your best & a work from home office budget
Medical insurance coverage for you and your family (Available for US & UK only)