Senior AI Engineer

Bilue is a digital consultancy that designs and builds smart, user-friendly technology for some of Australia’s most well-known businesses. From mobile apps to beautifully designed web platforms and digital experiences, we create solutions that drive impact and deliver exceptional customer outcomes.

Our culture is people-first and purpose-driven. We’re a down-to-earth, values-led team with offices in Sydney and Melbourne, and a growing presence in Manila. We genuinely enjoy working together, whether we’re solving tough tech problems, brainstorming creative solutions, or grabbing a coffee between meetings. Curiosity is encouraged. Collaboration is second nature.

We value excellence, not ego, and back each other to do great work without micromanagement. With low politics and high trust, it’s a place where delivery people, designers, and engineers genuinely connect, and where everyone has a voice, space to grow, and a little fun along the way.

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

• Client-focused: We are dedicated to delivering exceptional value to our clients while supporting each other to achieve collective success.
• Internal coaching: We prioritise personal and professional growth, emphasising continuous learning and up-skilling.
• Flat structure: We operate with a flat structure, where our casual, approachable executive leadership team (ELT) ensures everyone’s voice is heard.
• Internal communities: We build and nurture internal communities for knowledge sharing and collaboration, keeping everyone connected and informed.
• Flexible: We offer full time remote working for all of our Manila based employees, but stay connected via Slack and Zoom.

Additional Information

• Candidates must be based within the metropolitan area of Manila with a strong reliable internet connection.
• Working hours are expected to be Australian Eastern Standard Time. (7am - 3.30pm PHT)