Description

You will design and productionize agentic AI workflows and RAG pipelines to automate client business processes.

This role is hybrid.

Responsibilities

• Design and implement agentic AI workflows to automate client business processes.
• Build and productionize Retrieval-Augmented Generation (RAG) pipelines.
• Develop multi-agent coordination and crew management solutions using LangGraph.
• Integrate LLM APIs with tool calling, streaming, and context management.
• Deploy, monitor, and improve AI agent workloads in cloud environments.

Required Skills

• 6+ years of relevant software engineering experience.
• Strong experience in Agentic AI development and LLM API integration.
• Hands-on experience with RAG pipeline implementation.
• Experience with LangGraph and multi-agent orchestration.
• Proficiency in Python, FastAPI, AWS, REST APIs, and CI/CD.
• Demonstrated experience delivering production AI agent or RAG-based solutions.

Preferred Skills

• Experience with LLM roles and context management strategies.
• Background in designing complex agent coordination systems.

Key Skills

Education

Any Graduate