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Strong employer brand, metro locations, and an entry-level popular AI role increase applicant competition.
Role requires specialized LLM, RAG, and vector DB experience, limiting cross-industry transferability.
Requires specific LLM, vector DB, and backend skills but no explicit years, so moderately strict screening.
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Design, develop, and maintain AI agents, chatbots, workflow automation, and Retrieval-Augmented Generation (RAG) systems using modern LLM frameworks.
Integrate AI solutions with REST APIs, third-party platforms, and backend services primarily using Python frameworks like FastAPI or Flask.
Optimize vector database solutions (e.g., Chroma, FAISS, Pinecone, Qdrant) and collaborate with cross-functional teams to deliver scalable AI applications.
Bachelor's degree in B.E./B.Tech/MCA in Computer Science, IT, or related field from a recognized accredited institution.
Strong programming skills in Python; working knowledge of SQL and basic JavaScript/TypeScript.
Experience with LLM APIs (OpenAI, Gemini, Claude or similar) and at least one AI framework: LangChain, LangGraph, LlamaIndex, or CrewAI.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with backend development using Python frameworks (FastAPI, Flask) and REST API integrations.
Experienced in working with vector databases and AI-related projects such as AI chatbots, RAG applications, or workflow automation.
Able to adopt and evaluate emerging AI technologies, frameworks, and tools within collaborative, product-driven teams.