Lead AI Engineer

About Us 🚀 Bridgit is a leading non-bank lender transforming the way Australians access property equity. Purpose-built to make property transactions faster and easier, we pioneered the Buy Now, Sell Later solution — empowering homeowners to unlock their property equity and move on their terms. With a simple digital application, fast approvals, and flexible loan options, we're making property finance seamless and stress-free. We're now five years old and making huge strides. We've accredited over three-quarters of Australia's broker network, and launched white label solutions with Australia's largest aggregators — Connective, Aussie Home Loans, Finsure, and Loan Market Group — and we're just getting started. Our momentum has been recognised with awards including Best Growth Story at the 2025 Fintech Awards, the 2025 Finder People's Choice Award for Lending Innovation, Deloitte's Tech Fast 50 2025, and a place among LinkedIn's Top 20 Startups in Australia 2025. The Difference You'll Make You will lead the design and build of ATLAS, Bridgit's multi-agent orchestration platform, for how AI operates across our lending products. This is a rare opportunity to define the foundational patterns from the ground up. Your focus is building scalable, production-ready multi-agent systems and robust RAG pipelines that are highly performant, reliable, and seamlessly integrated into our core product. Beyond the systems you build directly, you will uplift how our broader engineering teams work with AI, establishing the practices and reusable patterns that let them safely and rapidly integrate AI features into their own work. This is a hands-on, 'player-coach' role. While you will guide the strategic direction of our AI architecture and mentor a team of highly skilled engineers, you will remain deeply technical. You will be writing production code, designing complex agentic patterns, debugging model deployments, and leading from the trenches by example. What You’ll Do Leadership: Lead a small team of highly skilled engineers to build Bridgit’s multi-agent orchestration platform. Drive technical decision-making, architecture reviews, and engineering standards.Architecture design: Define and implement the AI platform architecture, RAG pipelines and integrations with enterprise systems. Design and implement controls consistent with Bridgit's security, data protection, and regulatory obligations.Orchestration and integration: Design API driven connections with databases, and external enterprise tools.Context Engineering: Architect memory systems by engineering sophisticated memory layers, spanning short-term buffers to expansive vector stores. Develop advanced knowledge graphs and graph-retrieval mechanisms (such as GraphRAG) to ensure context grounding is both entity-aware and relationship-driven.Multi-agent protocols: Establish reliable message-passing rules, handoff mechanisms, and shared state management so agents can swap inputs and resolve conflicts.Testing and evaluation: Implement rigorous evaluation loops, logging, and error-correction guardrails to prevent cascading hallucinations or infinite loops.Automate security: Build secure, reproducible agent sandboxes for remote dev & CI testing. Set up golden-path dev environments and guardrails for secrets/PII.Embed governance controls: Build reproducibility, traceability, and quality-control systems that implement Bridgit's AI Governance Framework and Risk Appetite Statement. Implement monitoring and observability aligned to defined risk thresholds.Standardise AI coding tools: Standardise AI coding tools, such as Claude Code, Cursor, and Codex. Help configure, harden, and maintain the best tools, integrating org-wide configurations with individual preferences. Track tool usage, reliability, and costs.Champion a "shift-left" culture: Remain deeply hands-on while mentoring software developers and AI engineers to improve coding productivity without compromising code quality and develop their personalised AI-enabled workflows. What We Are Looking For 6+ years of experience in AI/ML Engineering, Machine Learning Infrastructure (MLOps), or Data Science, preferably within a regulated fintech or high-growth tech environment.A strong understanding of modern AI architectures and experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi-agent frameworks and interoperability protocols (e.g., LangGraph, Semantic Kernel, AutoGen). Experience with open-source frameworks like Agno would be highly beneficial.Experience with knowledge graph construction and graph-based retrieval (e.g. GraphRAG) for entity- and relationship-aware context grounding is highly advantageous.Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost.Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance.Strong understanding of software engineering principles, architecture patterns, and delivery best practices.Proven experience managing the full machine learning lifecycle, including model evaluation, monitoring for drift and bias, vector databases, and optimizing inference latency for production applications. Experience managing graph databases is highly beneficial.Working knowledge of AI safety standards (NIST AI Risk Framework, ISO 42001).Collaborative communicator: The ability to clearly deconstruct complex architectural risks to cross-functional teams, favouring building "paved roads" and secure defaults over acting as a gatekeeper. Our Culture And Benefits Bridgit values its team - they're the heart of how we build this business. Along with competitive remuneration, slick offices, and the chance to be part of an innovative, agile fintech, we also offer: Extra Leave - Birthday leave plus an additional day of paid leave for life events, celebrations, or a mental health reset.Two Weeks from Anywhere - Work remotely from a location of your choice for two weeks each year.Learning and Development - All employees are encouraged and empowered to engage in professional development, including a number of learning initiatives run internally.Social Events - We have a jam-packed social scene, with events throughout the year to bring the team together! Ready to Make an Impact? If you love the hard problems in financial engineering, and you want to build the infrastructure behind a company reshaping the lending industry, we'd love to chat. Apply now and let's build the future of finance together! 🚀