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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop core backend architecture and scalable components for enterprise-level Generative AI solutions.
Build intelligent workflows and multi-agent scalable architectures utilizing LangGraph, LangChain, and RAG pipelines for advanced AI applications.
Integrate AWS Bedrock, AgentCore, and enterprise services to deploy and optimize production-ready AI/ML solutions.
Minimum Requirements
Minimum 4 years experience in AI/ML development with strong focus on Generative AI.
Proficient in Generative AI and LLM tools including OpenAI, Claude, Gemini, Llama, LangGraph, and LangChain.
Strong Python skills including FastAPI, Pydantic, asynchronous programming; experience with RAG pipelines and vector databases (Pinecone, ChromaDB, FAISS).
Experience with AWS Bedrock and AgentCore; strong SQL and NL-to-SQL knowledge; English proficiency minimum B2 level.
Ideal Candidate Profile
Experienced backend engineer focused on development of scalable Generative AI systems and AI orchestration frameworks.
Skilled in building end-to-end AI pipelines involving multi-agent routing, memory management, and natural language processing.
Comfortable working in hybrid model from Bangalore, integrating enterprise AI applications with cloud platforms.