Principal Engineer – Agentic AI Development Location: Remote – Pennsylvania Employment Type: Contract Job Description: Core Technical Skills Must Have: Azure AI Agent Service | Azure AI Foundry | Azure AI Search | Azure OpenAI Service | Microsoft Copilot Studio | MCP Development | LLM Orchestration | Prompt Flow | Python | TypeScript | JavaScript | RAG | Multi-Agent AI | Semantic Kernel Required Qualifications 12+ years and at least 2+ years of experience working with AI/ML, conversational AI, Generative AI, or Agentic AI systems . Strong hands-on experience with Microsoft Copilot Studio , including low-code authoring and pro-code extensions. Strong production experience with Azure AI Foundry and related Azure AI services. Hands-on experience with: Azure OpenAI Service Azure AI Agent Service Azure AI Search Prompt Flow Semantic Kernel Strong understanding of Agentic AI architecture and LLM orchestration . Experience with multi-agent systems, tool/function calling, RAG, embeddings, agent memory, evaluation, and guardrails . Hands-on experience developing MCP / Model Context Protocol solutions. Strong programming skills in Python and TypeScript/JavaScript ; C# is a plus. Experience with at least two agent/orchestration frameworks outside the Microsoft ecosystem, such as: LangChain LangGraph AutoGen CrewAI Comparable frameworks Strong understanding of REST APIs, GraphQL, event-driven architectures, CI/CD, and infrastructure-as-code. Experience with Power Platform administration, governance, ALM, custom connectors, and DLP policies . Excellent communication skills with the ability to work with both technical teams and business stakeholders. Bachelor's degree in Computer Science, Engineering, AI/ML, or a related field. Master's degree preferred. Key Responsibilities Agentic AI Development Architect and develop production-grade agentic AI applications using Azure AI Foundry, Azure OpenAI Service, Azure AI Agent Service, Azure AI Search, Prompt Flow, and Semantic Kernel . Build custom AI agents, multi-agent workflows, tool integrations, and orchestration frameworks. Develop enterprise RAG pipelines , vector search solutions, embeddings, indexing, and retrieval strategies. Implement agent memory, state management, context handling, and long-running autonomous workflows. Develop and maintain Model Context Protocol (MCP) servers and integrations. Microsoft Copilot Studio Develop and extend enterprise solutions using Microsoft Copilot Studio . Build custom connectors, actions, Power Platform components, and reusable agent components. Implement advanced capabilities including multi-agent orchestration, MCP integration, human-in-the-loop workflows, and Copilot Tuning . Establish development patterns and reusable templates for citizen developers. Integrate Copilot Studio solutions with Azure AI Foundry when advanced pro-code capabilities are required. Software Engineering & Integration Write production-quality code using Python, TypeScript, JavaScript, and/or C# . Design RESTful and GraphQL APIs and enterprise system integrations. Build event-driven architectures and scalable agent integration layers. Develop CI/CD pipelines and infrastructure automation. Build custom connectors and integration services for enterprise applications. Utilize Terraform, Bicep, Docker, and cloud-native technologies where appropriate. AI Evaluation, Quality & Governance Develop comprehensive testing and evaluation frameworks for AI agents. Implement LLM-as-a-Judge , benchmark testing, regression testing, red-team testing, and human evaluation. Establish agent quality standards covering accuracy, hallucination, latency, cost, and reliability. Implement AI guardrails, content safety, PII protection, prompt-injection defenses, and responsible AI controls. Build agent observability and monitoring using Application Insights, telemetry, tracing, dashboards, and performance metrics . Support production incident response, root-cause analysis, and continuous improvement. Low-Code Enablement Develop training and enablement programs for business users and citizen developers using Copilot Studio. Create reusable agent templates, connector libraries, development standards, and deployment checklists. Establish governance standards for decentralized agent development. Monitor adoption, usage, quality, compliance, and business value of enterprise agents. Identify when low-code solutions require transition to pro-code implementations. Email is best way to reach me. Looking forward to working with you Thanks & Regards, Harshith Reddy harshith0728@gmail.com : : : : APPLY NOW 🔔 Get our daily C2C jobs / Hotlist notifications on WHATSAPP TELEGRAM LINKEDIN