Senior AI Engineer (expression of interest)

The Role

Please note this is an expression of interest only not a confirmed vacancy. We are currently shortlisting great candidates so we can move quickly when roles open. Applications are reviewed on a rolling basis and we will contact you if a suitable opportunity is approved and available.

Were 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 youll design build and ship production-grade AI systems for Bilues 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 isnt a research role. Its not a prompt-engineering role. Youll 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 Youll 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 Bilues 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 Bilues technical edge.

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

Qualifications :

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 youll 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 youve delivered for external clients under real constraints.

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

Additional Information :

Life at Bilue

People-first focus: Were committed to delivering exceptional outcomes for our clients but we know it starts with our people. Youll join a values-led team thats 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 arent just fun perks theyre part of how we work and grow together.

Flexibility that works: We offer hybrid working with 12 days per week in the office. Its 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 Go1s learning library and support from our internal performance coach. Whether you want to deepen your technical skills or grow your leadership potential well back you.

Flat structure real impact: At Bilue everyones 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.

Remote Work :

Yes

Employment Type :

Full-time

Department / Functional Area: Engineering
Experience: years
Vacancy: 1