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python kubernetes microservices apis langchain📋 Description
- Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
- Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
- Build production-grade GenAI services, APIs, and backend infrastructure.
- Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
- Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.
🎯 Requirements
- 6+ years of professional software engineering experience.
- Strong Python development skills.
- Strong backend engineering background with APIs, services, integrations, or microservices.
- Proven experience designing, shipping, or operating LLM-powered GenAI systems.
- Experience with RAG, AI agents, tool/function calling, prompt orchestration, evaluation, and observability.
- Experience with microservices, distributed systems, and production backend architecture.
🎁 Benefits
- Stock options
- Paid parental leave
- Flex PTO
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