AI Development FDE

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.