Intelligent Systems Architect

1 week ago

Pune, Maharashtra, India beBeeIntelligentSystemsArchitect Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Job Overview:

This role involves leading the design, implementation, and deployment of sophisticated multi-step intelligent systems using LangGraph for complex workflows. The successful candidate will leverage MCP tools effectively within system designs to enhance functionality and performance.

Key Responsibilities:

  • Design and implement intelligent agents: Lead the architecture, development, and deployment of sophisticated multi-step intelligent agents using LangGraph for complex workflows.
  • Integrate and optimize AI tools: Leverage MCP tools effectively within agent designs to enhance functionality and performance.
  • Cloud-native deployment: Implement and manage agent deployments on Azure AI Foundry and Functions, ensuring scalable, robust, and efficient operations.
  • RAG Stack Optimization: Work with the broader retrieval-augmented generation (RAG) stack, including embeddings, vector databases, and chunking strategies, to enable intelligent document understanding across insurance submissions and claims.
  • Agent Orchestration & Debugging: Comfortably engineer prompts, orchestrate agent interactions, and meticulously debug complex multi-step agent behaviors.
  • Develop Specific Agent Use Cases: Develop agents to parse submission emails and documents, extract critical data, apply underwriting processing and knowledge, and prioritize tasks with full transparency and repeatability.

Required Skills & Experience:

  • Expertise in LLM Frameworks: Strong hands-on experience with LangChain, LangGraph, and LangSmith.
  • Cloud AI Platforms: Familiarity with Azure AI Foundry and Functions and best practices for cloud-native deployment patterns.
  • RAG Fundamentals: Deep understanding of RAG architectures, embeddings, and vector stores.
  • Prompt Engineering: Proven ability in prompt engineering, agent orchestration, and effective debugging of AI workflows.
  • Architecture Acumen: Familiarity with MCP Tools and architecture.

Bonus Qualifications:

  • Enterprise LLM Applications: Demonstrated experience building and deploying enterprise-grade LLM applications.

About the Role:

This is an exciting opportunity to work at the forefront of intelligent systems development. The successful candidate will have a strong background in AI, a passion for innovation, and excellent problem-solving skills.

What We Offer:

  • A dynamic and supportive work environment
  • Ongoing training and professional development opportunities
  • The chance to work on cutting-edge projects

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