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Remote-friendly mid-level AI role in Bengaluru with broad GenAI and Azure requirements drives high competition.
Core GenAI engineering skills transfer across industries, though clinical trial domain knowledge is beneficial.
Explicit 5–8 years plus mandatory Azure OpenAI, RAG, FastAPI, Cosmos DB, and React requirements increase selectivity.
Architect, develop, and deploy scalable AI-driven systems using Python, FastAPI, Azure OpenAI, integrating with Cosmos DB and Azure Cognitive Search.
Build and maintain microservices and design Retrieval-Augmented Generation (RAG) pipelines for AI and data processing workflows.
Integrate advanced external and internal search tools (Perplexity, Bing API), document APIs and AI workflows for scalability and maintenance.
5-8 years of hands-on experience in AI/ML or full-stack development with AI integration.
Degree required: BE, B.Tech, MCA, or MSc in Computer Science, Artificial Intelligence, or Data Engineering.
Proficiency with Python, FastAPI, Node.js, React, Azure OpenAI, Azure Cognitive Search, Cosmos DB, and RAG pipelines.
Experience with MS Visual Studio Code, Git, Azure DevOps, REST APIs, and familiarity with prompt engineering, vector search, embedding management.
Experienced in designing and operationalizing AI applications within cloud environments, specifically Azure ecosystem.
Skilled in integrating advanced search/retrieval architectures, evidencing depth in RAG pipeline optimization.
Capable of end-to-end AI solution ownership from development through CI/CD deployment and documentation in a research-driven tech environment.