Gen AI Developer

Responsibilities:

• Lead end-to-end delivery of GenAI and Agentic AI solutions.
• Design and implement RAG, AI Agents, MCP, multi-agent orchestration, and LLM-based applications.
• Guide teams in prompt engineering, evaluation frameworks, guardrails, observability, and performance optimisation.
• Translate business requirements into scalable AI solutions.
• Establish coding standards, architecture patterns, and engineering best practices.
• Conduct technical reviews and mentor GenAI engineers.
• Collaborate with architects, product owners, and business stakeholders.
• Drive production readiness, monitoring, security, and Responsible AI compliance.

Requirements:

• Strong hands-on experience with Python, FastAPI, LangChain, LangGraph, Semantic Kernel, AutoGen, MCP.
• Experience with Azure AI Foundry, OpenAI, AWS Bedrock or similar platforms.
• Strong understanding of: LLMs, RAG, Vector Databases, AI Agents, Prompt Engineering, LLM Evaluation, AI Observability.
• Experience with CI/CD, MLOps, containerization, and cloud-native deployments.
• Strong stakeholder communication and leadership abilities.