Added
2 hours ago
Type
Full time
Salary
Salary not provided

Related skills

fastapi rag langchain langgraph vector databases
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πŸ“‹ Description

  • Lead the architecture, design, development, and implementation of an enterprise-grade Agentic AI
  • Design modular, reusable AI components and intelligent agents using a Bricks/multi-node
  • Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, prompt
  • Define and implement agentic AI architectures that are scalable, maintainable, secure, and
  • Build scalable APIs and backend services using Python and FastAPI, ensuring reliability and
  • Design retrieval-augmented generation solutions and integrate vector databases for context-aware AI

🎯 Requirements

  • 10+ years of software engineering/AI/ML with senior architecture responsibilities.
  • Strong experience building and operating LLM-based applications in production.
  • Advanced Python development skills and production-grade backend systems.
  • Hands-on with Claude API and integration into real-world AI apps.
  • Strong experience with LangGraph and/or LangChain for complex AI workflows.
  • Proven experience designing and implementing Agentic AI architectures and multi-agent systems.

🎁 Benefits

  • Fully remote work model.
  • Contract engagement.
  • Opportunity to work on an enterprise-grade Agentic AI platform using advanced generative AI tech.
  • Hands-on exposure to Claude, LangGraph, LangChain, RAG, vector databases, MCP, multi-agent systems.
  • Influence architectural decisions and shape reusable AI components.
  • Senior-level technical ownership with impact on platform design and evolution.
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