Senior AI Engineer

<section class="job-section" id="st-companyDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Company Description</h2></div><div class="wysiwyg"><p>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.</p><p>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.</p><p>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.</p></div></section><section class="job-section" id="st-jobDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Job Description</h2></div><div class="wysiwyg" itemprop="responsibilities"><p><strong>The Role</strong></p><p>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.</p><p>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.</p><p><strong>What You’ll Do</strong></p><p><strong>Client Delivery (The Foundry)</strong></p><ul><li><p>Design and build production-grade AI solutions including agentic systems, memory systems, LLM-powered features, and intelligent automation for enterprise clients.</p></li><li><p>Architect cloud-native AI systems on AWS, Azure, or GCP with robust DevOps/LLMOps pipelines for scalability and reliability.</p></li><li><p>Integrate AI capabilities into existing enterprise platforms (CRM, ERP, lending systems, claims platforms) through well-designed APIs and data pipelines (leveraging AI of course).</p></li><li><p>Lead AI technical delivery within cross-functional squads alongside designers, strategists, and client stakeholders — translating complex AI concepts into high-impact outcomes.</p></li><li><p>Implement responsible AI practices including red-teaming, bias testing, evaluation harnesses, and human-in-the-loop design before anything ships.</p></li></ul><p><strong>Internal Capability (The AI Foundry)</strong></p><ul><li><p>Contribute to Bilue’s reference architectures for common delivery patterns: knowledge/context pipelines, agentic systems, LLM integrations, and evaluation frameworks.</p></li><li><p>Help define and evolve engineering standards for AI Labs work — code quality, testing approaches, prompt evaluation frameworks, and what “production-grade” means in practice.</p></li><li><p>Build reusable tooling, accelerators, and “skills” that make the next project faster and more reliable.</p></li><li><p>Participate in model evaluation, cost optimisation, and architecture reviews that sharpen Bilue’s technical edge.</p></li><li><p>Share knowledge across the engineering team through documentation, tech talks, and hands-on mentoring.</p></li></ul></div></section><section class="job-section" id="st-qualifications"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Qualifications</h2></div><div class="wysiwyg" itemprop="qualifications"><p><strong>Experience & Mindset</strong></p><ul><li><p>Demonstrable experience delivering AI or GenAI solutions in a production environment — not just prototypes or demos.</p></li><li><p>Strong problem-solving ability and the analytical mindset to work with ambiguous, evolving requirements.</p></li><li><p>The ability to communicate technical concepts clearly to non-technical stakeholders and client executives.</p></li><li><p>Genuine systems thought leadership — you understand why the system matters, not just how it works.</p></li><li><p>A collaborative, low-ego approach, working across teams, clients, and contexts with adaptability.</p></li><li><p>Comfort operating in a fast moving environment where you’ll work across multiple clients and industries.</p></li><li><p>Strong opinions, weakly held - curious mind with the ability to rapidly evolve when faced with contradictory evidence. </p></li></ul><p><strong>Technical Skills</strong></p><ul><li><p>Strong programming skills in Python; familiarity with TypeScript or Java is a plus.</p></li><li><p>Hands-on experience with AI and agentic frameworks — LangChain, AgentCore , LlamaIndex, LangGraph, CrewAI, vector databases, or similar.</p></li><li><p>Working expertise with cloud platforms (AWS, Azure, or GCP) </p></li><li><p>Solid understanding of data engineering fundamentals — SQL, ETL/ELT, distributed systems, handling large and unstructured datasets.</p></li><li><p>Experience designing and deploying production AI systems with proper observability, monitoring, and evaluation.</p></li><li><p>Familiarity with LLMOps practices — prompt versioning, model drift detection, cost monitoring, A/B evaluation.</p></li><li><p>Understanding of RESTful APIs, microservices, and enterprise integration patterns.</p></li></ul><p><strong>Bonus Points</strong></p><ul><li><p>Experience with the AWS AI/ML stack (Bedrock, AgentCore, Strands, SageMaker, Lambda, Step Functions).</p></li><li><p>Familiarity with responsible AI frameworks, bias testing tools, or AI governance practices.</p></li><li><p>Prior consulting or hyper-scaler experience where you’ve delivered for external clients under real constraints.</p></li><li><p>Contributions to open-source AI projects, AI research, or published technical writing.</p></li></ul></div></section><section class="job-section" id="st-additionalInformation"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Additional Information</h2></div><div class="wysiwyg" itemprop="incentives"><p><strong>Life at Bilue</strong></p><ul><li>Client-focused: We are dedicated to delivering exceptional value to our clients while supporting each other to achieve collective success.</li><li>Internal coaching: We prioritise personal and professional growth, emphasising continuous learning and up-skilling.</li><li>Flat structure: We operate with a flat structure, where our casual, approachable executive leadership team (ELT) ensures everyone’s voice is heard.</li><li>Internal communities: We build and nurture internal communities for knowledge sharing and collaboration, keeping everyone connected and informed.</li><li>Flexible: We offer full time remote working for all of our Manila based employees, but stay connected via Slack and Zoom.</li></ul><p><strong>Additional Information</strong></p><ul><li>Candidates must be based within the metropolitan area of Manila with a strong reliable internet connection.</li><li>Working hours are expected to be Australian Eastern Standard Time. (7am - 3.30pm PHT)</li></ul></div></section>