Description

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.

Good 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)

Key Skills

Education

Any Graduate