Senior AI Engineer

Additional Information

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 our LMS SuperPath's 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!

A note on your application
Every application is read by a real person on our team. Use AI in your work, but please don’t use it to write your CV. A generated CV tells us what a model thinks we want to hear, and we’d much rather hear it from you. We want to know the person behind the projects.

When you apply, we’ll ask you about one AI system you’ve shipped: how you knew it was working, and what broke. A few honest sentences beat a polished essay.

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

We’re only accepting applications directly from candidates, so no agencies please.

Company Description

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.

Job Description

The Role

As a Senior AI Engineer at Bilue, you’ll design, build and ship production grade AI systems for clients across financial services, government, insurance and retail. Working in our Applied AI Practice, you’ll split your time between client delivery through our Applied AI service offering and building the reference architectures, tooling and standards that shape how we work.

This is a hands-on engineering role rather than research or prompt engineering. You’ll build agentic systems that hold up with real users and help set the bar for what production grade means at Bilue.

You’ll work directly with clients and their teams, often across more than one industry at a time. That means understanding the problem they’re really trying to solve, explaining your technical decisions in plain language, and earning their trust by delivering AI that works when it counts. You’ll sit in cross functional squads alongside designers, delivery managers and engineers, working closely with our AI Architect to keep what we build aligned to the right design, security and compliance guardrails.

Knowledge sharing is part of the job. You’ll share what you learn through documentation, tech talks, company showcases, pairing and our internal communities, so every project leaves the next one better equipped and the whole team grows with you.

RESPONSIBILITIES

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

• Work directly with clients and their teams to understand the problem they’re really trying to solve, and explain your technical decisions in plain language

• Build cloud native AI systems on AWS, Azure or GCP with solid DevOps and LLMOps pipelines for scale and reliability

• Integrate AI into enterprise platforms such as CRM, ERP, lending and claims systems through well designed APIs and data pipelines

• Be the go to AI engineer in cross functional squads, working alongside designers, strategists, delivery managers and our AI Architect

• Build responsible AI in from the start, including evaluation harnesses, validation gates, red teaming, bias testing and human in the loop design, working to the security and compliance guardrails set with the AI Architect, including ISO 27001 and ISO 42001

• Contribute to the Applied AI Practice’s reference architectures, engineering standards and reusable tooling so each project starts faster than the last

• Take part in model evaluation, cost optimisation and architecture reviews

• Share knowledge across Bilue through documentation, tech talks, pairing and our internal communities

• Use AI responsibly and in line with Bilue’s AI policies, treating it as a tool to work smarter while keeping human judgement at the centre of your decisions

Qualifications

WHAT WE'RE LOOKING FOR

Mindset & Experience

• Real craft, with a track record of shipping AI or GenAI solutions to real users in a commercial environment rather than stopping at prototypes or demos

• Sound judgement, with the instinct to test, challenge and validate what AI produces before it reaches real users

• A consultative approach, comfortable working across multiple clients and industries and explaining technical concepts clearly to non technical stakeholders

• A passion for connection, with a collaborative, low ego style that lifts the people around you

• Generous with what you know, happy to pair, teach and share your learnings so the whole team gets sharper

• Confident owning your technical decisions and the outcome when a call affects delivery time or budget

• Curious by nature, with the confidence to back your view and the openness to change it when the evidence shifts

• A systems thinker who understands why a system matters as well as how it works, and is comfortable with ambiguous, changing requirements

• Experience in regulated industries such as financial services, insurance or government

• A genuine fit with our values: no cure for curiosity, lend a hand and do the right thing

Technical Skills

• Strong Python as your primary language, with TypeScript or Java a plus

• Hands on experience with agentic frameworks such as LangChain, LangGraph, LlamaIndex or CrewAI, plus RAG and vector databases

• Production AI on AWS, Azure or GCP with proper observability, evaluation and LLMOps practices such as prompt versioning, drift detection and cost monitoring

• Solid data and integration fundamentals, including SQL, ETL, unstructured data, RESTful APIs and microservices

• Experience with the AWS AI stack (Bedrock, AgentCore, Strands, SageMaker) or prior consulting delivery is highly valued