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AI Developer

AI Developer

PEOPLE FORCE CONSULTING INCUnited States
7 hours ago
Job type
  • Temporary
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Job description

Job Title : AI Developer

Location : Washington, DC(Hybrid role, 4 days onsite)

Duration : 6+ months Contract

Key Responsibilities

  • Design, implement, and operate Retrieval-Augmented Generation (RAG) services using Azure AI / Search, including chunking, embeddings, re-ranking, evaluation, and citation display.
  • Design and deploy Model Context Protocol (MCP) tools / servers to integrate security scanners, inventory systems, approvals, and Azure DevOps / GitHub services.
  • Build agentic AI solutions using AutoGen, CrewAI, and / or Agno, enabling secure tool-calling and multi-agent orchestration for troubleshooting and workflow automation.
  • Develop production-grade chatbots (multi-turn, retrieval-grounded) with prompt management, guardrails, audit logging, and telemetry.
  • Integrate Azure OpenAI securely behind API Management (APIM), manage secrets with Key Vault, handle events via Event Hub, and instrument with App Insights / Log Analytics.
  • Evaluate and (where appropriate) fine-tune open-source models (e.g., PEFT / LoRA), balancing quality, latency, cost, and safety.
  • Ship with CI / CD on Azure DevOps, implement unit / integration tests, red-team for prompt-injection / jailbreaks, and document runbooks.

Minimum Qualifications

  • 4-8 years total software development experience, with 2+ years in applied LLM / GenAI.
  • Strong Python skills and hands-on experience with Azure OpenAI and Azure AI / Search (vector search, hybrid search, semantic ranking).
  • Practical experience with agent frameworks (AutoGen, CrewAI, Agno) and MCP / tool-use patterns.
  • Proven Azure PaaS experience : Azure Functions or Web Apps, APIM, Key Vault, Event Hub; familiarity with Entra ID / RBAC and secure API design.
  • Experience implementing observability (App Insights, Log Analytics / KQL) and CI / CD with Azure DevOps.

    • Nice to Have (including Certifications)

  • RAG evaluation frameworks (e.g., Ragas), custom golden sets, KQL proficiency, Cosmos DB familiarity.
  • Security-first mindset : content safety, prompt-injection defenses, data privacy controls, and threat modeling for AI systems.
  • Experience with cost monitoring / optimization of LLM workloads and latency tuning.

    • Certifications (any of) :

  • Microsoft Certified : Azure AI Engineer Associate (AI-102)
  • Microsoft Certified : Azure Developer Associate (AZ-204)
  • Microsoft Certified : Azure Solutions Architect Expert (AZ-305)
  • Microsoft Certified : Azure Data Scientist Associate (DP-100)
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    Ai Developer • United States