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Known brand, mid-level AI title in Bangalore with hybrid work and broad skill requirements increases applicant competition.
Specialized LLM, RAG, vectorDB and RPA integration skills are moderately transferable across industries.
Explicit years and required production AI, LLM/RAG/vectorDB/RPA skills enforce high shortlisting strictness.
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Develop and maintain multi-agent AI workflows and integrations into production-ready solutions, including tool integrations with APIs and enterprise systems.
Build and manage end-to-end Retrieval Augmented Generation (RAG) pipelines with vector databases, monitoring and improving retrieval quality.
Develop and maintain RPA task bots and implement AI agent to RPA handoff logic, ensuring production quality with testing, CI/CD, and incident response.
2-5 years software engineering experience with at least 2 years building AI-powered or automation production solutions.
Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or equivalent practical experience.
Hands-on experience with LangChain/LangGraph or similar agentic AI patterns and LLM APIs like OpenAI, Anthropic, Gemini, or open-source.
Experience with RAG pipeline components, vector databases, and RPA platforms such as UiPath, Automation Anywhere, or Power Automate.
Experienced in deploying end-to-end AI agent systems with RAG and RPA integration, capable of increasing ownership toward architecture and stakeholder engagement.
Strong engineering skills in Python, cloud AI services, APIs, data pipelines, and event-driven systems relevant to AI and automation.
Familiarity or certification with cloud AI (AWS, Azure, GCP) and RPA platforms preferred, with an interest in fine-tuning AI models and agent observability tools.