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 #J-18808-Ljbffr