Jr. Agentic AI Engineer

Proclink; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Proclink is seeking 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 role involves architecting intelligent agents, enabling agent-to-agent collaboration, and deploying enterprise-grade AI solutions in cloud environments, with a focus on scalable, secure deployments and cross‑functional collaboration.

Qualifications

• 2.5+ years of software and AI solution development.
• Experience with LLMs and AI agent development is desirable.
• API integration and workflow automation experience.
• Ability to develop enterprise AI agents under guidance.

Responsibilities

• Design, develop, and deploy AI agents using GitHub Copilot Agent SDK and Microsoft Agent Framework.
• Build autonomous, multi-agent, workflow-driven AI solutions for enterprise use cases.
• Develop agent orchestration, tool-calling, and human-in-the-loop workflows.
• Implement memory management and context handling for agents.
• Design scalable backend services using Python and FastAPI.
• Build Retrieval-Augmented Generation (RAG) solutions with vector databases.
• Integrate AI agents with enterprise apps, APIs, databases, and tools.
• Develop and optimize prompt engineering strategies for agent performance.
• Collaborate with cross-functional teams on architecture and documentation.

Skills

2.5+ yrs software & AI

LLMs & AI agents basics

API integration & workflow automation

Enterprise AI agent support

Education

Bachelors or Masters in CS/AI/DS

Tools

GitHub Copilot Agent SDK

Microsoft Agent Framework

Python

FastAPI

Docker

Kubernetes

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.
• 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.

Required Skills