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Senior Engineer - Applied AI

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Culture Amp

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Location:
Australia , Sydney

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Join us on our mission to make a better world of work. 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 - 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

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 write clean, tested, maintainable code
  • 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 - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
  • A pragmatic, solution-focused mindset - you evaluate new technology through the lens of 'does this scalably solve the problem?' not 'is this technically interesting?'
  • 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

Nice to have:

  • 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 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)

Additional Information:

Job Posted:
January 31, 2026

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