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Strong Tier-1 employer and metro location, but niche LLM skills reduce broad applicant competition.
Specialized LLM, RAG and agentic skills transfer across tech industries but limit non-AI applicants.
Explicit 7–10 years plus mandatory LLM, RAG, vector DB, cloud and full-stack requirements make filters stringent.
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Design, develop, and maintain AI-powered applications using large language models and retrieval-augmented generation pipelines.
Build agentic workflow solutions incorporating multi-agent systems, tool integrations, and context management in LLM applications.
Architect and deploy cloud-based full stack AI applications with backend (Python/.NET) and frontend (React) components, integrating AI capabilities into production systems.
7–10 years of overall software development experience.
1–3 years of hands-on experience in AI/ML domain.
Strong full stack development skills in Python and/or .NET (backend) and React (frontend).
Experience with cloud platforms AWS (Bedrock, Lambda, S3, etc.) and/or Azure (Azure OpenAI, Azure ML, AKS, etc.).
Proficient in building and maintaining RAG pipelines with vector databases (e.g., Chroma, Qdrant, Weaviate, pgvector).
Experienced with agentic solutions and orchestration patterns (multi-agent systems, planning loops, memory management).
Skilled in REST API development, prompt engineering, LLM evaluation, and familiar with MCP and tool/function calling patterns in large language model workflows.