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Mid-tier brand with niche LLM skills reduces applicants, while Bangalore metro increases competition.
Specialized LLM engineering skills and vector DB experience create strong AI domain bias.
Requires specific LLM frameworks, vector DBs, cloud deployment and senior-level engineering skills.
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Design and deploy production-grade AI solutions using large language models, focusing on architectures like RAG and multi-agent systems.
Build and integrate AI agents and workflows into applications leveraging tools such as LangChain or LangGraph.
Manage AI system deployment on cloud platforms (Azure OpenAI, AWS Bedrock), including implementing observability, monitoring, and CI/CD automation.
Strong proficiency in Python for AI/ML development.
Experience with large language models and related prompt/context engineering techniques.
Hands-on experience with AI frameworks like LangChain, LangGraph, or equivalent and familiarity with vector databases (Pinecone, FAISS, etc.).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in operationalizing AI-driven products with cloud deployment and monitoring expertise.
Skilled in integrating complex AI agent architectures into scalable software applications within Agile environments.
Technically adept in current AI engineering practices including prompt engineering, vector stores, and CI/CD automation for AI systems.