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Sr Agentic AI Engineer

Pioneer IT Systems LLCUnited States🇺🇸United StatesPosted 31 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
19 hours ago
AWSAzureC#Google CloudGraphQLJavaScriptLLMPythonTerraformTypeScript

Job Description

Job Title: Sr Agentic AI Engineer
Location: Harrisburg Pennsylvania 17120 (Remote)
Duration: 6 month contract
 
 
TECHNICAL SKILLS
Must Have
  • Azure AI Agent Service
  • Azure AI Foundry
  • Azure AI Search
  • Azure OpenAI Service
  • JavaScript
  • LLM Orchestration
  • MCP Development
  • Microsoft Copilot Studio
  • Prompt flow
  • Python Automation
  • TypeScript

Nice To Have
  • Amazon Bedrock
  • Amazon Web Services (AWS)
  • Azure
  • Google Cloud Platform (Google Cloud Platform)

CUSTOM FIELDS
  • Contingent Worker Job Title
  • Principal Engineer, Agentic AI Development
  • Program Name
  • DevOps

 

QUALIFICATIONS
Required
•       8+ years of software engineering experience (Senior) or 12+ years (Principal), with at least 2 years focused on AI/ML systems, conversational AI, or agentic AI platforms.
•       Deep hands-on expertise with Copilot Studio, including both low-code authoring (topics, knowledge, actions, agent flows) and pro-code extension (custom connectors, Power Platform components, ALM).
•       Strong production experience with Azure AI Foundry (Azure OpenAI Service, Azure AI Search, Prompt Flow, Semantic Kernel, Azure AI Agent Service) building custom agentic applications.
•       Proficiency in at least two additional agent frameworks beyond the Microsoft ecosystem: LangChain/LangGraph, AutoGen, CrewAI, or comparable orchestration frameworks.
•       Deep understanding of agentic AI patterns: multi-agent orchestration, tool-use and function calling, RAG architectures, embedding strategies, evaluation methodologies guardrails, and MCP.
•       Strong software engineering fundamentals: TypeScript, Python, or C#; RESTful and GraphQL API design; event-driven architectures; CI/CD; infrastructure-as-code (Bicep, Terraform); containerization.
•       Excellent communication skills with the ability to present to both engineering peers and business leaders, translating technical concepts into business-relevant language.
•       Bachelor’s degree in computer science, AI/ML, Engineering, or a related field. Masters preferred.
•       Experience with Sierra AI or comparable AI platforms for consumer-facing customer service agents.
•       Background in Power Platform administration, governance, and toolkit deployment.
 

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