Middle Office Ops Lead

TEKsystems; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Strategic AI platform initiative

Foundational platform capabilities

Exposure to AI and cloud technologies

High ownership environment

Collaborative engineering team

Job summary

TEKsystems Singapore is seeking a proficient Python backend/platform engineer to join our AI platform team. You will own core backend components, build scalable APIs, and contribute to multi-tenant, production-grade services in a fast-moving environment.

You will collaborate with AI product teams, leverage FastAPI, and apply best practices in software design, testing, and deployment. This role offers high ownership, exposure to cloud and AI workloads, and the chance to shape foundational

Qualifications

• 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.

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: multi-tenancy, rate limiting, quota enforcement, usage metering, internal APIs
• Build shared platform capabilities for AI applications including model provider gateways, workflow runtime, subscription/entitlement handling, agent harness features, and file management systems

Skills

Backend engineering

Python

FastAPI

API design

Production backends

Independent delivery

AI-powered apps exposure

Communication

Tools

AWS AgentCore

Kubernetes

Docker

Temporal/Airflow/Step Functions

OpenAI/Azure OpenAI

Databricks

Multi-tenant platform

TypeScript/Fastify/Next.js

Job description

• 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.