My Role

• Develop and integrate enterprise AI solutions, including GenAI apps, RAG pipelines, AI agents, copilots, automation workflows and reusable AI platform components.
• Build GenAI apps, RAG components, prompt flows, data connectors, APIs and AI agents.
• Design and develop responsive user interfaces using React, Next.js, TypeScript, HTML5, CSS3, and modern UI component libraries (Material UI, Tailwind CSS or similar).
• Implement vector indexes, embeddings, document processing and knowledge grounding using Azure AI services.
• Create PoCs, MVPs and reusable accelerators for client demonstrations and delivery mobilization.
• Support testing, evaluation, groundedness checks, performance tuning, monitoring and cost optimization.
• Document designs, deployment steps and reusable implementation patterns.
• Collaborate with consultants, product owners, architects, UX designers and governance specialists.

Experience and Skills Required

• 5-8 years in software, data, AI, cloud development or automation.
• Hands-on work building GenAI, Agentic Harness, RAG, chatbot, AI/ML or enterprise integration solutions.
• Good Python and frontend capability plus APIs, SDKs and source control.
• Experience in agile teams and ability to communicate technical trade-offs clearly.
• Python, FastAPI or similar backend and frontend frameworks.
• Strong experience in Python and modern frontend development using React or Next.js.
• Azure OpenAI, Azure AI Foundry, Azure AI Search and Azure ML fundamentals.
• RAG pipelines, embeddings, vector search, prompt engineering and evaluation.
• Agent frameworks, orchestration, tool calling and workflow automation.
• APIs, databases, message queues, files and enterprise connectors.
• Git, CI/CD, containers, configuration and automated testing.
• AI quality: test datasets, regression checks, hallucination checks, groundedness, latency and cost.
• Responsible AI implementation: content filters, guardrails, logging and human review.
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