The Role
Design, develop, and deploy autonomous and multi-agent AI solutions using Python, GitHub Copilot Agent SDK, and Microsoft Agent Framework. Build agent orchestration, tool and function calling, RAG systems, enterprise integrations, FastAPI services, prompt strategies, and CI/CD pipelines. Monitor and improve agent performance while collaborating with Product, QA, Engineering, and DevOps teams.
Summary Generated by Built In
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.
Skills Required
- 2.5+ years of experience in software engineering and AI solution development
- Strong Python fundamentals
- Basic experience with LLMs and AI agent development
- Experience with API integration and workflow automation
- Ability to develop and support enterprise AI agents under guidance
- 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 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
- Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field
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The Company
What We Do
Proclink is a digital and AI transformation company that helps regulated and operationally intensive enterprises modernize systems, workflows, and decision environments. It combines strategy and consulting, data engineering, artificial intelligence, analytics, implementation and integration, managed services, and technology services. The company serves manufacturing, financial services, life sciences, and other regulated industries, delivering connected enterprise intelligence and measurable operational performance for clients.
