Job Description
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.
Skills and Qualifications
-
2.5+ years' experience in software engineering and AI solution development.
-
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.
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).
-
Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
