Lead AI Engineer: Agentic AI & Enterprise Solutions

Happiest Minds Technologies

Hyderabad City Taluka

Presencial

PKR 1 800 000 - 3 000 000

Tempo integral

há 12 horas
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Resumo da oferta

Happiest Minds Technologies is seeking an AI engineer to develop agentic AI solutions, integrate MCP servers and tool orchestration, and build AI agents with AWS Bedrock and Lambda services. You will work across AWS and Azure to deploy enterprise AI applications, leveraging NLP, prompt engineering, and LangChain/LangGraph to create scalable, reliable systems.

The role involves collaborating with business and technical stakeholders to translate requirements into efficient implementations and

Responsabilidades

  • Develop AI/Agentic AI solutions, including intelligent agents and chatbots.
  • Design and implement MCP servers and tool orchestration.
  • Build and orchestrate AI agents using AWS Bedrock, AWS Agents, and AWS AgentCore.
  • Work with AWS Bedrock models and Knowledge Bases to develop enterprise AI solutions.
  • Integrate MCP targets and tools through AWS AgentCore Gateways.
  • Apply LLM, NLP, prompt engineering, and Agentic AI concepts to real-world business use cases.
  • Work with LangChain and LangGraph for AI application and agent development.
  • Implement solutions using AWS services such as S3, EC2, Lambda, CloudWatch.
  • Support deployment and integration across AWS and Azure environments.
  • Collaborate with stakeholders to translate requirements into scalable implementations.
  • Troubleshoot issues and improve performance, reliability, and user experience.

Descrição da oferta de emprego

Happiest Minds Technologies is seeking an AI engineer to develop agentic AI solutions, integrate MCP servers and tool orchestration, and build AI agents with AWS Bedrock and Lambda services. You will work across AWS and Azure to deploy enterprise AI applications, leveraging NLP, prompt engineering, and LangChain/LangGraph to create scalable, reliable systems.

The role involves collaborating with business and technical stakeholders to translate requirements into efficient implementations and

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