Description

You will build and operate advanced AI systems using large language models and Azure services.

Responsibilities

• Design, implement, and operate Retrieval-Augmented Generation (RAG) services using Azure AI/Search, including chunking, embeddings, re-ranking, evaluation, and citation display.
• Build agentic AI solutions using AutoGen, CrewAI, and/or Agno, enabling secure tool-calling and multi-agent orchestration.
• Develop production-grade chatbots with prompt management, guardrails, audit logging, and telemetry.
• Integrate Azure OpenAI securely behind API Management (APIM), managing secrets with Key Vault and handling events via Event Hub.
• Ship features with CI/CD on Azure DevOps, implementing tests and red-teaming for prompt injection.

Required Skills

• 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.
• Experience implementing observability (App Insights, Log Analytics/KQL) and CI/CD with Azure DevOps.
• Experience evaluating and fine-tuning open-source models (e.g., PEFT/LoRA).

Key Skills

Education

Any Graduate