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Strong employer brand, metro location, mid-level generalist ML role with broad stack increases applicant competition.
Specialized agentic AI, RAG, vector DB and RPA skills reduce cross-industry transferability.
Explicit 2–5 years plus mandatory LLM, RAG, vector DB and RPA expertise increases filter strictness.
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Build and maintain multi-agent AI workflows and integrate tools (APIs, ERP, CRM, ITSM) with robust error handling for production use.
Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines including ingestion, chunking, embedding, vector store management, and retrieval quality monitoring.
Develop and maintain RPA task bots and implement AI agent to RPA handoff logic; own system quality by writing tests, contributing to CI/CD, and monitoring deployed solutions.
2-5 years of software engineering experience with at least 2 years building AI-powered or automation solutions in production.
Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or equivalent practical experience.
Hands-on experience with LangChain, LLM APIs (OpenAI, Anthropic, Gemini), RAG pipelines, vector databases, and RPA platforms like UiPath or Automation Anywhere.
Work Location: Bangalore with hybrid work model.
Experience working under senior engineering guidance with potential to grow into independent architecture ownership and stakeholder management.
Strong proficiency in Python, cloud AI services, APIs, data pipelines, and event-driven systems with demonstrable delivery of complete production solutions.
Familiarity with both agentic AI and RPA workflows including fine-tuning AI agents, implementing tool integrations, and maintaining production-grade quality and observability systems.