Backend Engineer - Python

Full job description

Key Responsibilities

• Agent Logic & Tooling:  Develop and maintain the backend "tools" (APIs, scrapers, database connectors) that AI agents use to perform tasks.
• Orchestration Implementation:  Use frameworks like  LangChain, LangGraph, or CrewAI  to implement complex reasoning chains and multi-agent coordination.
• RAG Pipeline Engineering:  Build and optimize data ingestion and retrieval systems using  Vector Databases  , ensuring the agent has the right context at the right time.
• Asynchronous Task Management:  Manage long-running AI reasoning cycles using asynchronous Python (FastAPI/Asyncio) and task queues like Celery or Redis.
• API Architecture:  Design and implement secure, high-performance REST or GraphQL APIs that serve as the interface between the agentic backend and the frontend.
• Safety & Guardrails:  Implement backend-level validation and guardrails to ensure that autonomous agent actions remain within secure and ethical boundaries.

Technical Requirements

• Python Expertise: 8+ years of professional experience with  Python  , specifically with  FastAPI, Pydantic, and Asyncio  .
• AI Frameworks:  Hands-on experience with  LangChain  or  LlamaIndex  .
• Database Management:  Proficiency in  PostgreSQL  and experience with  Vector Databases  .
• Cloud & DevOps:  Experience deploying containerized applications using  Docker  and  Kubernetes  on AWS, Azure, or GCP.
• Scalability:  Understanding of distributed systems and how to handle the high latency and compute requirements of LLM-based applications.
• Version Control:  Mastery of Git and CI/CD best practices.

Preferred Qualifications

• Knowledge of  Prompt Engineering  from a programmatic perspective (dynamic prompt templating).
• Familiarity with observability tools for AI, such as  LangSmith  or  Arize Phoenix  .