Design and lead backend architecture for AI features across web, mobile, and APIs
Own end-to-end strategy for embedding LLMs, embedding stores, MCP Servers, and content
Architect agentic workflows to orchestrate tools, APIs, and data with LLMs
Partner with product/design to scope features and ensure impact
Build tools and services including MCP Server integrations for AI features
Mentor engineers in backend architecture, AI integration, and delivery quality

🎯 Requirements

6+ years backend experience, 2+ years in AI/ML or LLMs
Experience deploying MCP Servers and Model Context Protocol ecosystem
Hands-on agentic workflows with LLMs, orchestrating APIs/tools/data
Experience with vector DBs, embeddings, and semantic search
Familiarity with MLOps, CI/CD for AI pipelines, and AI observability
Strong experience in Node.js, Python, C#, or TypeScript

🎁 Benefits

Growth opportunities and internal mobility support

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