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AI Agent Development Engineer-Hamilton Township, NJ (Hybrid)- Local Candidate needed

Job

Ztek Consulting

Remote

Full-Time

Posted 5 days ago (Updated 2 days ago) • Actively hiring

Expires 6/16/2026

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Job Description

Hi, I would like to share an excellent opening Contact AI Agent Development Engineer do go through the details and kindly send me the updated resume.
Location :
Hamilton Township, NJ (Hybrid)- Local Candidate needed
Type of Hire :
Contract Mode of interview : WebEx / Teams Strong programming: C#, Python, Typescript, REST APIs, backend development Design and implement AI agents leveraging LLMs, Retrieval-Augmented Generation (RAG), and multi-agent frameworks Develop conversational AI solutions, copilots, and intelligent automation workflows Integrate AI agents with enterprise systems (APIs, Dynamics 365, Dataverse, Microsoft Fabric and MCP s) Build agent orchestration including memory, context management, and reasoning capabilities Monitor, evaluate, and continuously improve agent performance and reliability Apply Responsible AI, security, and governance standards across all solutions Collaborate with business and technology teams to translate requirements into agent-driven solutions Required Skills Strong programming: C#, Python, Typescript, REST APIs, backend development Experience with LLMs, prompt engineering, embeddings, and RAG architectures Familiarity with frameworks: LangChain, Semantic Kernel, AutoGen, or similar Cloud platforms: Azure AI (preferred), AWS, or Google Cloud Platform Experience with vector databases (Pinecone, FAISS, Azure AI Search, etc.) Understanding of microservices, containers (Docker, Kubernetes) Qualifications Bachelor s or Master s degree in Computer Science, AI, Data Science, or related field 3 8+ years of experience in AI/ML engineering or software development Hands-on experience building AI agents, chatbots, or intelligent automation systems Proven ability to deploy solutions into production environments Preferred Qualifications Experience with Copilot Studio, Agent 365, or enterprise AI platforms Knowledge of knowledge graphs and enterprise data platforms (e.g., Microsoft Fabric) Domain experience in Financial Services / Wealth Management Familiarity with AI governance, compliance, and audit frameworks

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