Agentic AI Engineer

About Us A Canadian technology and workforce solutions company headquartered in Vaughan, Ontario. The company helps businesses, enterprises, and public-sector organizations modernize their operations through secure digital transformation, custom software development, staffing, recruitment, payroll, and workforce management solutions. Job Description Title: Agentic AI Engineer Location: Pittsburgh, PA, Dallas, TX OR Cleveland, OH – (5 days Onsite) - Local to any of these locations Employment Type: Full Time Visa Accepted: USC/GC/GC EAD/H4 EAD/ TN VISA/H1B Transfer Accepted (with 1.5 years of minimum validity) Your future duties and responsibilities: · Build AI agents capable of reasoning, planning, memory management, and autonomous task execution · Should have hands on workflow configuration in Azure Foundry/AWS Bedrock · Implement prompt engineering, agent orchestration, and tool-calling mechanisms · Develop multi-agent workflows using frameworks such as LangChain, LangGraph, MCP Server or Semantic Kernel · Design Retrieval-Augmented Generation (RAG) pipelines for context-aware AI responses · Develop scalable backend services and APIs to support AI agent operations · Monitor agent performance, reliability and response quality · Ensure responsible AI practices including security, governance, observability, and compliance · Collaborate with data engineers, software developers, and business teams to deliver AI-driven automation solutions Requirements Required qualifications to be successful in this role: · Candidate should be good in AI Agents automation development process using Azure/AWS · At least 2+ years in software development with Agentic AI implementation experience · Must be strong in Azure Foundry/AWS Bedrock related agentic automation implementation · Excellent in development using Python, SQL, Pandas · Good exposure to agile testing process · Should have excellent communication skills to interact with stakeholders Skills: · Agentic AI · AWS Amazon Bedrock · Azure · GIT · Jira · Python · SQL