Senior Applied AI Engineer

Culture Amp Pty Ltd; Sydney; Hybrid; AUD 180,000 - 250,000; Full time

Benefits offered by this job

Equity—Employee Share Option Program

Learning programs and coaching

Wellbeing and lifestyle allowance

Annual days off and parental leave

Job summary

Culture Amp is seeking a Senior Applied AI Engineer to join the Frontier team. You’ll bridge applied AI research with production systems to solve real customer problems and ship features that improve how people experience work.

You’ll design agentic AI capabilities, build memory graphs, and orchestrate data pipelines across surveys, performance reviews, and feedback data. This role blends research with production delivery.

Qualifications

• 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.
• Experience in designing and scaling production-grade multi-agent systems, memory, and RAG.
• Full stack development in Python, React, PGVector.
• Strong software engineering fundamentals and maintainable code.
• Ability to lead autonomous agents and implement feedback loops.

Responsibilities

• Design and implement agentic AI capabilities and graph-based frameworks.
• Orchestrate data pipelines and integrations with workplace data.
• Build memory, context graphs, and per-user memory for agents.
• Develop robust RAG and memory architectures and evaluation tooling.
• Lead prompt engineering, evaluation at scale, and production monitoring.

Skills

Production ML

Knowledge graphs

LLM evaluation

Multi-agent systems

Python

React

PGVector

Software engineering

Agent orchestration

Data pipelines

Education

Masters or PhD in ML/CS

Tools

Neo4j

Neptune

LangGraph

Langfuse

LangSmith

Job description

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.

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 the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day.

Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world’s top private cloud companies by Forbes and most innovative companies by Fast Company.

How you can help make a better world of work

We’re looking for a Senior Applied AI Engineer to join the Frontier team, helping build Agentic AI Solutions at Culture Amp. 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

• 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.

You have:

• 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.

Strong signals:

• 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

Bonus:

• Familiarity with people analytics, HR tech, or behavioural science applications
• Open source contributions or public technical writing

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 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.

Accommodations & Data Privacy

If you require reasonable accommodations or adjustments due to a disability to complete the online application or to participate in the interview process, please contact [e-mail] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Culture Amp will retain your CV & personal information for a period of two years (four years for the US) from the date of your application process completion. Culture Amp may contact you in relation to future job opportunities during this time period. For further information please see our privacy policy here or contact [e-mail] .

Global Diversity Questions

At Culture Amp, we are incredibly proud of how our platform helps companies measure aspects of diversity and inclusion; particularly aspects beyond race and gender. When it comes to measuring diversity for ourselves, we are leading the charge in helping companies think about building balanced teams.

To get a comprehensive understanding of our pipeline, we invite all applicants to fill out these demographic questions. Completion of this form is entirely voluntary and declining to provide this information will not subject you to adverse treatment.

By providing answers in the following questionnaire you consent to Culture Amp using your anonymised demographic information for internal research and trend analysis.

Culture Amp is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, colour, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law.

Thank you and good luck with your application.