Senior AI Developer

• 8–10 years of professional software development experience, including 4+ years building AI or ML-driven applications.
• Proven hands-on expertise implementing agentic AI systems using Azure AI, OpenAI API, or similar LLM providers (Anthropic, Gemini, etc.).
• Strong proficiency in Python, including experience with FastAPI, LangChain, LangGraph, semantic caching, or vector database frameworks (e.g., Pinecone, Chroma, Weaviate).
• Deep working knowledge of context-driven architecture for managing conversational and operational state across agents.
  
  2-3 years of experience building AI applications with RLHF model capabilities
• Experience deploying production-grade AI workflows in Azure environments, leveraging CI/CD, containerization (Docker/Kubernetes), and Azure DevOps pipelines.
• Ability to integrate and manage multi-agent orchestration, message queues, and API-driven microservices.
• Strong understanding of AI security, RBAC, and compliance in enterprise or regulated environments.
• Excellent communication skills with cross-functional teams, including product managers, data engineers, and executives.

Preferred:

• Azure AI Engineer Associate or Azure Developer Associate certification.
• Experience operationalizing MCP-based agentic frameworks or enterprise-scale AI copilots.
• Familiarity with MLOps/DevOps, prompt optimization, and observability tools for AI systems.
• Exposure to Responsible AI and ethical agent governance frameworks.