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AI Agent Development Engineer

Jobs via Dice

Hamilton Township · Hybrid Contract 1w ago

About the role

About

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ztek Consulting, is seeking the following.

Role

AI Agent Development Engineer

Location

Hamilton Township, NJ (Hybrid) - Local Candidate needed

Type of Hire

Contract

Interview Mode

WebEx / Teams

Responsibilities

  • 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

Skills

AIAWSAutoGenAzure AIC#DockerFAISSFastAPIGoogle Cloud PlatformKubernetesLangChainLLMMicrosoft FabricPineconePythonRAGREST APISemantic KernelTypescript

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