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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.
