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.


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