Middle Office Ops Lead

Allegis Group Singapore Pte Ltd; Singapore; On-site; SGD 90,000 - 125,000; Full time

Job summary

Allegis Group Singapore Pte Ltd is seeking a skilled Backend Engineer to maintain enterprise LLM gateway and SDK, and to build shared platform services for AI agents. The role emphasizes strong Python development and experience with backend systems.

You will work on multi-tenant platforms, workflow runtimes, and API exposure, with opportunities to lead platform components in a modern AI infrastructure. Singapore-based, on-site work is expected.

Qualifications

• 2–6 years of Backend/Platform/Software 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.

Skills

Python development

Backend engineering

API design

Frameworks (FastAPI)

Production backend apps

Independent ownership

AI-powered apps/* GenAI*/LLM

Communication & problem-solving

Tools

Kubernetes

Docker

AWS AgentCore

TypeScript

Workflow tools (Temporal/Airflow/Step Functions)

OpenAI/Anthropic/Azure OpenAI

Databricks

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.

EA Registration No.: YAP JUN WEI , R25126752 Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544