Found Description
Gen AI Developer/Engineer
Experience: Total Experience: 10-15 years, AI-ML and Gen AI Experience: 4–6 years
Strong fundamentals and real‑world production exposure. Responsible for building, deploying, and operating Gen AI solutions using modern agentic architectures.
Core Responsibilities
- Design, develop, and deploy Gen AI and ML solutions using Azure Open AI, Azure ML, Azure AI Studio, and related services
- Build LLM‑powered applications using: Prompt engineering, Tool/function calling, Retrieval‑Augmented Generation (RAG) and Agentic AI design patterns
- Develop Agent‑to‑Agent (A2 A) workflows for task decomposition, orchestration, and collaboration
- Implement Model Context Protocol (MCP) to standardize tool access, memory, and context management across agents
- Apply MLOps and LLMOps practices:
- CI/CD for models and prompts and Versioning, monitoring, evaluation
- Failure detection and mitigation (hallucinations, drift, prompt regressions)
- Imp...
Experience: Total Experience: 10-15 years, AI-ML and Gen AI Experience: 4–6 years
Strong fundamentals and real‑world production exposure. Responsible for building, deploying, and operating Gen AI solutions using modern agentic architectures.
Core Responsibilities
- Design, develop, and deploy Gen AI and ML solutions using Azure Open AI, Azure ML, Azure AI Studio, and related services
- Build LLM‑powered applications using: Prompt engineering, Tool/function calling, Retrieval‑Augmented Generation (RAG) and Agentic AI design patterns
- Develop Agent‑to‑Agent (A2 A) workflows for task decomposition, orchestration, and collaboration
- Implement Model Context Protocol (MCP) to standardize tool access, memory, and context management across agents
- Apply MLOps and LLMOps practices:
- CI/CD for models and prompts and Versioning, monitoring, evaluation
- Failure detection and mitigation (hallucinations, drift, prompt regressions)
- Imp...