Culture Amp·Sydney·4 дн назад
Senior Applied AI Engineer
🏢 ОфисSeniorПолная занятость
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Наша компания
We’re big believers in the power of IRL, so for most roles we ask Campers to work from their local Culture Amp office an average of 2 days a week to unlock connection, pace and culture together. Join us on our mission to make a better world of work.
О роли
Culture Amp is the world’s leading employee experience platform, revolutionizing how 25 million employees across more than 6,000 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in
Чем предстоит заниматься
Design, implement and evaluate areas and features for agentic AI capabilities and systems using frameworks (e.g., LangGraph) for stateful, multi-turn conversations
Advise, help build, and orchestrate data pipelines and integrations involving workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent context view
Build memory across sessions, and context graph, grounded in a custom ontology, alongside per-user relational and procedural memory and preferences that persist to the user profile
Build and evaluate effective RAG, including pre-processing and hybrid search, and design areas of our graph-based agentic frameworks
Own the end-to-end feedback loop: prompt engineering, evaluation at scale, and continuous improvement, including LLM-powered analysis tools that diagnose performance shifts and recommend prompt or system-level changes
Translate customer requirements into technical solutions by working backwards from user needs to system design, and write the technical documentation that supports transfer to product teams
Partner closely with product, design, and people science so features are fit for purpose and scale
Contribute to evaluation frameworks and bias testing that meet enterprise requirements for transparency, fairness, and responsible AI
Create and Monitor guardrails and safety in production
Stay current with AI research, literature and provider offerings, and bring what's useful into production
Наши требования
Proven commercial experience taking ML/AI systems to production
Hands-on experience with knowledge graphs and graph databases (e.g. Neo4j, Neptune)
Production LLM evaluation and observability: LLM-as-judge, eval datasets, human-in-the-loop labelling, scoring against thresholds, plus tracing and production monitoring (e.g. Langfuse, LangSmith)
Experience in designing and scaling production-grade multi-agentic systems (orchestration, prompt and context engineering, RAG, memory, agent architectures)
Full stack software development experience, ideally Python, React, PGVector
Strong software engineering fundamentals - you write clean, tested, maintainable code
Proven ability to instruct and delegate complex workflows to autonomous agents, building the necessary feedback loops to ensure they act reliably on your behalf
Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
You are ambitious with what you build whilst maintaining a pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?"
Values alignment, the initiative to take risks, and the humility to learn and work out loud. You take pride in your work and its successful utilisation, stability, extendability and maintainability
Experience at startups or founding teams - comfortable with ambiguity and fast iteration
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 implementing GraphRAG or Knowledge Graphs (e.g., Neo4j, Neptune)
Evidence of taking relevant, recent techniques from paper to production
Мы предлагаем
You'll work at scale on hard problems that matter - building AI that helps organisations develop their people, improve feedback culture, and foster the conditions for sustainable high performance. Our approach is deeply informed by Culture Amp's people science research. You'll be surrounded by talented and passionate advocates for humanity and cutting edge AI in the world of work
At Culture Amp, our people are at the heart of our success. We offer competitive pay and a total rewards package designed to support you at work and in life. This includes
Equity through our Employee Share Option Program, so you can share in our long-term success
Learning programs and coaching to help you thrive and grow
Quarterly refresh days, an extended end-of-year break and a monthly allowance to support your wellbeing and lifestyle
Inclusive parental leave from day one
A MacBook and budget to set up your home workspace, enabling flexibility
Five annual social impact days to to give back to causes that matter to you
Medical insurance coverage for you and your family (Available for US & UK only)
Our rewards are designed to support different needs and life stages, recognising that what matters most can vary from person to person
Research shows that candidates from underrepresented backgrounds may hesitate to apply if they don’t meet every requirement, but your unique experience matters. If you’re interested in joining us, we strongly encourage you to apply and help us build a more diverse and impactful team
Дополнительно
Familiarity with people analytics, HR tech, or behavioural science applications
Open source contributions or public technical writing