Description

You will build and deploy LLM-driven autonomous agents, multi-agent systems, and tool-using workflows.

This role is hybrid.

Responsibilities

• Develop and optimize LLM-driven autonomous agents and multi-agent systems.
• Build high-performance Python microservices and AI APIs using FastAPI, Flask, and LangChain.
• Implement RAG pipelines, embeddings, and vector search architectures.
• Deploy and operate AI solutions on GCP and OpenShift/Kubernetes.

Required Skills

• 5+ years of software engineering experience.
• Proficiency in Python, including async programming, APIs, and microservices.
• Experience with LLM orchestration and LangChain.
• Knowledge of RAG pipelines, embeddings, and vector search.
• Experience with Google Cloud Platform (GCP).
• Experience with OpenShift/Kubernetes for deployment.

Key Skills

Education

Any Graduate