[Hiring] Senior AI Engineer @Bilue

Role Description

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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)