Description

Design and build production-grade AI agents and RAG pipelines for conversational experiences.

This role is on-site.

Responsibilities

• Design and build AI agents and agentic workflows for conversational experiences, including tool use and multi-step reasoning.
• Implement end-to-end 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.

Required Skills

• 7-10 years of relevant experience in AI engineering and building production LLM/agent systems.
• Strong expertise in Generative AI engineering with solid LLM fundamentals.
• Deep knowledge of Agentic AI, agentic workflows, tool design, and behavior shaping.
• Hands-on experience with Retrieval-Augmented Generation (RAG) implementation and tuning.
• API development and integration for LLM/agent services (REST-style APIs and service endpoints).
• Degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Preferred Skills

• JavaScript and TypeScript development experience.
• Cognigy certification and/or project experience.
• Backend, API, or Full-Stack development experience.

Key Skills

Education

Any Graduate