Description

You will build and own the backend infrastructure supporting complex AI agentic systems.

This role is on-site.

Responsibilities

• Develop and maintain backend tools, including APIs, scrapers, and database connectors for AI agents.
• Implement complex reasoning chains and multi-agent coordination using orchestration frameworks.
• Build and optimize data ingestion and retrieval pipelines using Vector Databases.
• Manage long-running AI reasoning cycles using asynchronous Python and task queues.
• Design and implement secure, high-performance REST or GraphQL APIs.

Required Skills

• 8+ years of professional experience with Python, including FastAPI, Pydantic, and Asyncio.
• Hands-on experience with AI frameworks like LangChain or LlamaIndex.
• Proficiency in PostgreSQL and experience managing Vector Databases.
• Experience deploying containerized applications using Docker and Kubernetes on AWS, Azure, or GCP.
• Understanding of distributed systems relevant to LLM applications.
• Mastery of Git and CI/CD best practices.

Key Skills

Education

Bachelor's degree