Description

Key Skills: LangChain Development, Open AI, Azure, Python, MLOps

Roles and Responsibilities:

• Design and develop autonomous and semi-autonomous AI agents using Python and agent orchestration frameworks.
• Build multi-step workflows incorporating tool calling, retrieval, memory, planning, validation, and human approval controls.
• Integrate large language model APIs and enterprise systems to automate operational and business processes.
• Architect, deploy, and maintain scalable agentic AI services on public cloud platforms.
• Establish evaluation, observability, security, and reliability practices for production AI automation solutions.

Skills Required:

• Strong professional experience developing production software and automation solutions with Python.
• Hands-on experience with LangChain or LlamaIndex for agent, retrieval, and workflow orchestration.
• Experience integrating OpenAI or Anthropic large language model APIs.
• Practical experience designing and deploying AI workloads on Microsoft Azure, Amazon Web Services, or Google Cloud.
• Understanding of agent architecture, prompt and tool orchestration, retrieval-augmented generation, API integration, testing, and production deployment.

Good to Have:

• Experience with Docker, Kubernetes, FastAPI, PostgreSQL, Redis, or MLflow.

Education: B.Tech or M.Tech in Computer Science, Information Technology, Artificial Intelligence, or a related discipline

Key Skills

Education

Any Graduate