AL
Job Description
We are seeking a talented Python engineer who possesses a robust background in backend or platform engineering and has hands-on experience with AI-driven products, LLM applications, or Generative AI solutions.
Key Responsibilities:
- Oversee the enterprise LLM gateway and SDK maintenance.
- Design and manage the workflow runtime.
- Develop and sustain shared services utilized by AI agents.
- Address cross-functional platform issues within the Core Team, including multi-tenancy, rate limiting, quota management, usage metering, and the internal APIs that facilitate these features.
- Create foundational platform capabilities for AI applications, such as model provider gateways, workflow runtimes, subscription and entitlement management, agent harness functionalities, and file management systems.
Essential Skills:
- 2-6 years of experience in Backend Engineering, Software Engineering, or Platform Engineering.
- Proficient in Python development.
- Familiarity with FastAPI or comparable backend frameworks.
- Extensive API design and backend system development experience.
- Proven track record in building and maintaining production-grade backend applications, services, or APIs.
- Capability to independently manage and deliver engineering components.
- Hands-on experience with AI-powered applications, Generative AI products, LLM integrations, copilots, or AI workflows.
- Excellent communication, initiative, and problem-solving abilities.
Desirable Skills:
- Exposure to AWS AgentCore.
- Experience with Kubernetes and Docker.
- Knowledge of workflow orchestration tools like Temporal, Airflow, or Step Functions.
- Experience with AI platforms such as OpenAI, Anthropic, Azure OpenAI, or similar.
- Familiarity with Databricks.
- Experience in multi-tenant platforms.
- Knowledge of TypeScript, Fastify, or Next.js.
- Background in internal platform, SDK, or developer tooling.
Benefits:
- Engage in a strategic, multi-year AI platform project with a significant organizational impact.
- Contribute to the development of essential platform capabilities used by various engineering teams.
- Gain exposure to cutting-edge AI, cloud, and platform technologies.
- Work in a high-ownership environment with opportunities to lead and manage platform components.
- Collaborate with a skilled engineering team dedicated to building scalable AI infrastructure.
We regret to inform that only candidates who are shortlisted will be contacted.
EA Registration No.: YAP JUN WEI , R25126752
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544
