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Sr. Agentic AI Engineer

Vega Intellisoft Inc.Dallas, TX🇺🇸United StatesPosted 27 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Sr. Agentic AI Engineer

Location: Pittsburgh, PA / Cleveland, OH / Dallas, TX
Employment Type: Full-Time
Work Model: Onsite

Job Description

We are seeking an experienced Sr. Agentic AI Engineer to design and implement next-generation AI automation solutions using Agentic AI frameworks. The ideal candidate will have strong expertise in Azure Foundry or AWS Bedrock, multi-agent architectures, RAG pipelines, and enterprise AI application development.

Key Responsibilities

  • Lead AI automation initiatives by combining Product Owner and Scrum Master responsibilities to define the AI roadmap.
  • Design and develop intelligent AI agents with reasoning, planning, memory, and autonomous task execution capabilities.
  • Build multi-agent workflows using LangChain, LangGraph, MCP Server, or Semantic Kernel.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
  • Configure AI workflows using Azure AI Foundry or AWS Bedrock.
  • Implement prompt engineering, agent orchestration, and tool-calling capabilities.
  • Develop scalable backend services and APIs to support AI agent operations.
  • Monitor AI agent performance, reliability, and response quality.
  • Ensure responsible AI practices including security, governance, observability, and compliance.
  • Collaborate with cross-functional teams to deliver AI-driven automation solutions.

Required Skills

  • 5+ years of software development experience with hands-on Agentic AI implementation.
  • Strong expertise in Azure AI Foundry and/or AWS Bedrock.
  • Experience with LangChain, LangGraph, MCP Server, Semantic Kernel, or similar AI frameworks.
  • Strong experience with Python, SQL, and Pandas.
  • Experience building RAG pipelines, AI agents, and autonomous workflows.
  • Strong knowledge of prompt engineering and AI agent orchestration.
  • Experience creating AI product roadmaps and managing Agile backlogs.
  • Excellent communication and stakeholder management skills.

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Skills

SQL
AWS
Scrum
Agile
Azure
Pandas
Python
Stakeholder Management

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