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Mid-level, metro AI role with broad LLM and RPA requirements increases applicant density and competition.
ML/AI skills are transferable, but RPA and enterprise integrations increase industry specificity.
Explicit 2-5 years plus specific LLM, RAG, vector DB, and RPA experience required.
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Build and maintain multi-agent AI workflows integrating tools and error handling for production use.
Develop end-to-end Retrieval Augmented Generation (RAG) pipelines including ingestion, embedding, vector store, and retrieval evaluation.
Develop and maintain RPA task bots with integrated AI agent handoff logic, ensuring production quality through testing and monitoring.
2-5 years 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.
Onsite work location: Bangalore.
Preferred certifications include Cloud AI (AWS, Azure, GCP) and RPA platforms (UiPath, Automation Anywhere), though not strictly mandatory.
Experienced in deploying complete, production-grade AI or automation solutions, not just prototypes.
Familiarity with AI agent frameworks (e.g., LangChain), LLM APIs, vector databases, and RPA tools to operate in hybrid automation environments.
Capable of progressing towards independent architecture ownership and leading stakeholder discovery with increasing responsibility.