- Posted a month ago
- Over 100 applicants have applied
Job Description
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
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Key Skills
About Company
Allegis Group is the global leader in talent solutions focused on working harder and caring more than any other provider. We'll go further to understand the needs of our people; our clients, our candidates, and our employees; and to consistently deliver on our promise of an unsurpassed quality experience. That's the Allegis Group difference, and it's consistent across every Allegis Group company. With more than US$11billion in annual revenues and over 500 locations across the globe, our network provides businesses with a comprehensive suite of talent solutions; without sacrificing the niche expertise required to ensure a successful partnership. Our specialised group of companies includes: Aerotek, TEKsystems, Allegis Global Solutions, Aston Carter, Major, Lindsey; Africa, Allegis Partners, MarketSource, and EASi. Visit www.AllegisGroup.com to learn more.
Allegis Group Singapore Pte Ltd,
Company Reg No. 200909448N, EA Licence No. 10C4544
