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We are looking for passionate and experienced Agentic AI Engineers across Junior, Senior, and Lead levels to design, develop, and deploy next-generation AI agents using GitHub Copilot Agent SDK, Microsoft Agent Framework, and Python. The ideal candidate should have strong expertise in building autonomous and multi-agent systems, integrating LLMs, implementing Agentic AI workflows, and delivering enterprise-grade AI solutions.

The role involves architecting intelligent agents, enabling agent-to-agent collaboration, integrating enterprise tools and data sources, implementing RAG solutions, and deploying scalable AI applications in cloud environments.

Responsibilities

- Design, develop, and deploy AI agents using GitHub Copilot Agent SDK and Microsoft Agent Framework.
- Build autonomous, multi-agent, and workflow-driven AI solutions for enterprise use cases.
- Develop agent orchestration, tool-calling, function-calling, and human-in-the-loop workflows.
- Implement memory management, context handling, and agent communication patterns.
- Design and develop scalable backend services using Python and FastAPI.
- Build Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search techniques.
- Integrate AI agents with enterprise applications, APIs, databases, and external tools.
- Develop and optimize prompt engineering strategies for improved agent performance.
- Design, implement, and maintain CI/CD pipelines for AI agent deployments.
- Monitor, evaluate, and continuously improve agent performance, accuracy, and operational efficiency.
- Collaborate with cross-functional teams including Product, QA, Engineering, and DevOps teams.
- Contribute to architecture design, technical documentation, and best practices for Agentic AI development.

Responsibilities

- Design,develop,



and deploy AI agents using GitHub Copilot Agent SDK and Microsoft Agent Framework.
- Build autonomous, multi-agent, and workflow-driven AI solutions for enterprise use cases.
- Develop agent orchestration, tool-calling, function-calling, and human-in-the-loop workflows.
- Implement memory management, context handling, and agent communication patterns.
- Design and develop scalable backend services using Python and FastAPI.
- Build Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search techniques.
- Integrate AI agents with enterprise applications, APIs, databases, and external tools.
- Develop and optimize prompt engineering strategies for improved agent performance.
- Design, implement, and maintain CI/CD pipelines for AI agent deployments.
- Monitor,evaluate, and continuously improve agent performance, accuracy, and operational efficiency.
- Collaborate with cross-functional teams including Product, QA, Engineering, and DevOps teams.
- Contribute to architecture design, technical documentation, and best practices for Agentic AI development.

Skills and Qualifications

- 2.5+ years of experience in software engineering and AI solution development.
- Strong hands-on experience in Python programming and software design principles.
- Experience developing AI agents using GitHub Copilot Agent SDK and/or Microsoft Agent Framework.
- Strong understanding of Agentic AI concepts, including autonomous agents, orchestration, memory, planning, and reasoning.




- Experience with Large Language Models (LLMs), prompt engineering, and AI application development.
- Hands-on experience building REST APIs using FastAPI or similar frameworks.
- Experience implementing Retrieval-Augmented Generation (RAG) solutions.
- Robust problem-solving, analytical, and debugging skills.
- Experience with version control systems such as Git and GitHub.
- Excellent communication, collaboration, and stakeholder management skills.

Preferred Qualifications

- Experience with Microsoft AI Foundry, Prompt Flow, and AI model deployment.
- Knowledge of Azure OpenAI, Azure AI Services, and Azure cloud-native solutions.
- Experience with Vector Databases such as Azure AI Search,
- Understanding of Model Context Protocol (MCP) and tool integration frameworks.
- Hands-on experience with Docker, Kubernetes, and containerized deployments.
- Experience implementing enterprise-grade security, governance, and compliance controls for AI applications.
- Knowledge of DevOps practices, GitHub Actions, and CI/CD automation.
- Experience leading AI projects and mentoring engineering teams (Senior/Lead positions).
- Bachelors or masters degree in computer science, Artificial Intelligence, Data Science, or a related field.

Nice to Have

- Hands-on experience with Microsoft AI Foundry Agent Services.
- Experience building multi-agent ecosystems and autonomous workflow platforms.
- Exposure to GitHub Copilot Extensions and enterprise AI integrations.
- Knowledge of modern AI evaluation, observability, and monitoring frameworks.

Junior Agentic AI Engineer

- Strong Python fundamentals.
- Basic experience with LLMs and AI agent development.
- API integration and workflow automation experience.
- Ability to develop and support enterprise AI agents under guidance.

📌 Jr. Agentic AI Engineer (Hyderabad)
🏢 Proclink
📍 Hyderabad