Back
Mid-level LLM/RAG role in Bangalore at a public AI company with broad skill requirements increases applicant competition.
Core LLM and Python skills are transferable, but enterprise integrations and infra focus raise domain specificity.
Requires 5+ years plus specific LLM, RAG, Python, and enterprise integration experience, yielding strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop AI-powered workflows automating infrastructure and operational tasks, focusing on large language models and enterprise integrations.
Design and implement prompts, tool integrations, and knowledge-grounding solutions using retrieval-augmented generation (RAG).
Collaborate with Product Management and engineering teams to prototype and deliver production-ready AI capabilities within the ClusterWareAI platform.
Bachelor's degree in Computer Science, Engineering, or related field.
5+ years of software engineering experience including AI application development.
Strong Python programming skills including experience with testing frameworks (Pytest or equivalent).
Experience with LLM APIs, agent frameworks, prompt engineering, retrieval techniques (including RAG), and REST API integrations.
Experience with AI frameworks like LangChain, LangGraph, Semantic Kernel, LlamaIndex, or AutoGen.
Background building enterprise AI assistants or copilots with knowledge of evaluation frameworks for AI quality.
Familiarity with model adaptation techniques (fine-tuning, LoRA, PEFT) and infrastructure management or enterprise SaaS platforms.