AI Engineer

TEKsystems is looking for a hands-on AI Platform Engineer to help build the shared platform, APIs, and backend services that enable AI development across the organisation. 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 / contacted. EA Registration No: YAP JUN WEI, R25126752 Allegis Group Singapore Pte Ltd, CompanyReg No. 200909448N, EA License No. 10C4544