AI Engineer

The Role

We’re looking for an AI Engineer to join The Foundry and work at the intersection of client delivery and internal capability building. This is a hands-on engineering role where you’ll design, build, and ship production-grade AI systems for Bilue’s clients across financial services, government, insurance, and retail — while simultaneously contributing to the reference architectures, tooling, and engineering standards that define how AI Labs operates.

This isn’t a research role. It’s not a prompt-engineering role. You’ll be building agentic systems that survive contact with real users, integrating AI into enterprise environments, and setting the quality bar for what “production-grade” means at Bilue.

What You’ll Do

Client Delivery (The Foundry)

• Design and build production-grade AI solutions including agentic systems, memory systems, LLM-powered features, and intelligent automation for enterprise clients.

• Architect cloud-native AI systems on AWS, Azure, or GCP with robust DevOps/LLMOps pipelines for scalability and reliability.

• Integrate AI capabilities into existing enterprise platforms (CRM, ERP, lending systems, claims platforms) through well-designed APIs and data pipelines (leveraging AI of course).

• Lead AI technical delivery within cross-functional squads alongside designers, strategists, and client stakeholders — translating complex AI concepts into high-impact outcomes.

• Implement responsible AI practices including red-teaming, bias testing, evaluation harnesses, and human-in-the-loop design before anything ships.

Internal Capability (The AI Foundry)

• Contribute to Bilue’s reference architectures for common delivery patterns: knowledge/context pipelines, agentic systems, LLM integrations, and evaluation frameworks.

• Help define and evolve engineering standards for AI Labs work — code quality, testing approaches, prompt evaluation frameworks, and what “production-grade” means in practice.

• Build reusable tooling, accelerators, and “skills” that make the next project faster and more reliable.

• Participate in model evaluation, cost optimisation, and architecture reviews that sharpen Bilue’s technical edge.

• Share knowledge across the engineering team through documentation, tech talks, and hands-on mentoring.

Experience & Mindset

• Demonstrable experience delivering AI or GenAI solutions in a production environment — not just prototypes or demos.

• Strong problem-solving ability and the analytical mindset to work with ambiguous, evolving requirements.

• The ability to communicate technical concepts clearly to non-technical stakeholders and client executives.

• Genuine systems thought leadership — you understand why the system matters, not just how it works.

• A collaborative, low-ego approach, working across teams, clients, and contexts with adaptability.

• Comfort operating in a fast moving environment where you’ll work across multiple clients and industries.

• Strong opinions, weakly held - curious mind with the ability to rapidly evolve when faced with contradictory evidence. 

Technical Skills

• Strong programming skills in Python; familiarity with TypeScript or Java is a plus.

• Hands-on experience with AI and agentic frameworks — LangChain, AgentCore , LlamaIndex, LangGraph, CrewAI, vector databases, or similar.

• Working expertise with cloud platforms (AWS, Azure, or GCP) 

• Solid understanding of data engineering fundamentals — SQL, ETL/ELT, distributed systems, handling large and unstructured datasets.

• Experience designing and deploying production AI systems with proper observability, monitoring, and evaluation.

• Familiarity with LLMOps practices — prompt versioning, model drift detection, cost monitoring, A/B evaluation.

• Understanding of RESTful APIs, microservices, and enterprise integration patterns.

Bonus Points

• Experience with the AWS AI/ML stack (Bedrock, AgentCore, Strands, SageMaker, Lambda, Step Functions).

• Familiarity with responsible AI frameworks, bias testing tools, or AI governance practices.

• Prior consulting or hyper-scaler experience where you’ve delivered for external clients under real constraints.

• Contributions to open-source AI projects, AI research, or published technical writing.

Life at Bilue

People-first focus: We’re committed to delivering exceptional outcomes for our clients, but we know it starts with our people. You’ll join a values-led team that’s collaborative, curious, and genuinely cares about doing great work, together.

Connection that counts: From monthly anchor days and team lunches to our annual offsite, we create intentional moments to connect, collaborate, and celebrate. These aren’t just fun perks — they’re part of how we work and grow together.

Flexibility that works: We offer hybrid working, with 1–2 days per week in the office. It’s a balance that gives you the space to do your best work, while still creating time to connect and build strong relationships in person.

Strong internal communities: We actively foster internal communities across tech, design, delivery, and beyond, giving you plenty of chances to connect, share knowledge, and learn from your peers.

Opportunities to grow: We invest in your development with unlimited access to Go1’s learning library and support from our internal performance coach. Whether you want to deepen your technical skills or grow your leadership potential, we’ll back you.

Flat structure, real impact: At Bilue, everyone’s voice matters. Our leadership team is hands-on and approachable, and we operate without unnecessary layers. We keep things open and transparent, and your ideas will be heard, no matter your title.

Bilue = Big + Blue Ocean. Are you ready to set sail? Apply now!

NB. This is a full-time position based in Sydney, NSW or Melbourne, VIC. To be considered, candidates must have unrestricted working rights in Australia.