Company:A Large Global Organization
Key Skills: Api, Agentic AI, LLM, Agentic Workflows, Generative AI, Retrieval-Augmented Generation (RAG)
Roles and Responsibilities:
Design and build AI agents and agentic workflows for conversational experiences, including tool use and multi-step reasoning flows.
Implement Retrieval-Augmented Generation (RAG) pipelines: data preparation, indexing, retrieval, and response generation with quality controls.
Develop and integrate backend services and APIs that connect LLM/agent components with external systems and data sources.
Structure and prepare data for AI agent consumption, including chunking, metadata strategy, and retrieval relevance tuning.
Optimize agent behavior through tool design, prompt/data interfaces, evaluation, and iterative improvements for reliability and performance.
Skills Required:




7 - 10 years of relevant experience in AI engineering and building production LLM/agent systems.
API development and integration for LLM/agent services (REST-style APIs and service endpoints).
Generative AI engineering with strong LLM fundamentals.
Agentic AI and agentic workflows, including tool design and behavior shaping.
Retrieval-Augmented Generation (RAG) expertise: end-to-end pipeline implementation and tuning.
Positive to Have:
JavaScript development experience.
TypeScript experience.
Cognigy certification and/or project experience.
Backend / API / Full-Stack development experience.
Education: Degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

📌 AI Engineer_101788 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru