AI Developer

Overview

Hybrid
$50 - $55
Contract - W2

Skills

Microsoft Azure
Python
Software Development

Job Details

Position Title*AI Developer
Position Responsibilities

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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