Description

You will build the backend infrastructure powering autonomous AI agents, focusing on tooling, orchestration, and secure API design.

Responsibilities

• Develop and maintain backend tools (APIs, scrapers, database connectors) for AI agent task execution.
• Implement complex reasoning chains and multi-agent coordination using LangChain, LangGraph, or CrewAI.
• Build and optimize RAG pipelines with Vector Databases for efficient context retrieval.
• Manage long-running asynchronous tasks and AI reasoning cycles using FastAPI, Asyncio, Celery, or Redis.
• Design secure REST or GraphQL APIs and implement backend guardrails for agent safety and validation.

Required Skills

• 8+ years of professional Python experience, specifically with FastAPI, Pydantic, and Asyncio.
• Hands-on experience with AI frameworks such as LangChain or LlamaIndex.
• Proficiency in PostgreSQL and experience with Vector Databases.
• Experience deploying containerized applications using Docker and Kubernetes on AWS, Azure, or GCP.
• Understanding of distributed systems, handling high latency, and LLM compute requirements.
• Mastery of Git and CI/CD best practices.

Preferred Skills

• Knowledge of programmatic prompt engineering and dynamic prompt templating.
• Familiarity with AI observability tools such as LangSmith or Arize Phoenix.

Key Skills

Education

Any Graduate