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Jr. Agentic AI Engineer

HyderabadOn-siteSenior

Good timing - competition is buildingPosted 4d ago

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The job post

357 words · from Proclink's careers site
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.


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