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Tier-1 brand, metro location, and in-demand LLM skills create moderate competition.
Role requires niche LLM, RAG, and vector DB expertise, making cross-industry transferability low.
Explicit 7–10 years, mandatory LLM/RAG/vector DB/cloud skills and domain experience drive rigorous filter criteria.
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Design and develop AI applications using large language models (OpenAI, Anthropic, Azure OpenAI) with a focus on RAG pipelines and vector databases.
Develop and orchestrate agentic solutions with multi-agent systems, tool integrations, and model context protocol workflows.
Architect and deploy full stack AI solutions on cloud platforms (AWS/Azure), ensuring integration of AI capabilities into production environments.
7–10 years of overall software development experience.
1–3 years of hands-on experience in the AI/ML domain.
Proficiency in full stack development: Python and/or .NET backend, React frontend.
Experience with cloud platforms AWS (Bedrock, Lambda, S3) and/or Azure (Azure OpenAI, Azure ML, AKS).
Experienced in building and maintaining Retrieval-Augmented Generation (RAG) pipelines using tools like LlamaIndex or LangChain.
Skilled in designing agentic workflows (ReAct, plan-and-execute, multi-agent) and implementing MCP and tool/function calling patterns in LLM applications.
Demonstrates strong REST API development experience (FastAPI, Flask, ASP.NET) and a solid understanding of prompt engineering and LLM evaluation.