Middle Office Ops Lead

• Maintaining enterprise LLM gateway and SDK
• Developing and maintaining the workflow runtime
• Developing and maintaining the shared services used by AI agents

The ideal candidate is a strong Python engineer with backend or platform engineering experience, coupled with practical exposure to AI-powered products, LLM applications, or GenAI solutions.

Responsibilities

• Maintaining enterprise LLM gateway and SDK
• Developing and maintaining the workflow runtime
• Developing and maintaining the shared services used by AI agents
• Cross-cutting platform concerns that fall to the Core Team: multi-tenancy, rate limiting, quota enforcement, usage metering, and the internal APIs that expose all of it.
• Build shared platform capabilities for AI applications including model provider gateways, workflow runtime, subscription and entitlement handling, agent harness features, and file management systems.

Skills (Must Have)

• 2-6 years of Backend Engineering, Software Engineering, or Platform Engineering experience.
• Strong Python development experience.
• Experience with FastAPI or similar backend frameworks.
• Strong API design and backend system development experience.
• Experience building and maintaining production backend applications, services, or APIs.
• Ability to independently own and deliver engineering components.
• Practical exposure to AI-powered applications, GenAI products, LLM integrations, copilots, or AI workflows.
• Strong communication, initiative, and problem-solving skills.

Skills (Good To Have)

• AWS AgentCore exposure.
• Kubernetes and Docker experience.
• Workflow orchestration tools such as Temporal, Airflow, or Step Functions.
• Experience with OpenAI, Anthropic, Azure OpenAI, or similar AI platforms.
• Databricks exposure.
• Multi-tenant platform experience.
• TypeScript, Fastify, or Next.js experience.
• Internal platform, SDK, or developer tooling experience.

What’s In It For You

• Opportunity to work on a strategic multi-year AI platform initiative with organisation-wide impact.
• Build foundational platform capabilities that will be used by multiple engineering teams.
• Exposure to modern AI, cloud, and platform technologies.
• High ownership environment with opportunities to lead and own platform components.
• Collaborate with an experienced engineering team focused on building scalable AI infrastructure.

We regret to inform that only shortlisted candidates will be notified.

EA Registration No.: YAP JUN WEI , R25126752

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544