Backend Engineer - Python

• Agent Logic & Tooling:Develop and maintain the backend "tools" (APIs, scrapers, database connectors) that AI agents use to perform tasks.
• Orchestration Implementation:Use frameworks likeLangChain, LangGraph, or CrewAIto implement complex reasoning chains and multi-agent coordination.
• RAG Pipeline Engineering:Build and optimize data ingestion and retrieval systems usingVector 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 withPython, specifically withFastAPI, Pydantic, and Asyncio.
• AI Frameworks:Hands-on experience withLangChainorLlamaIndex.
• Database Management:Proficiency inPostgreSQLand experience withVector Databases.
• Cloud & DevOps:Experience deploying containerized applications usingDockerandKuberneteson 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 ofPrompt Engineeringfrom a programmatic perspective (dynamic prompt templating).
• Familiarity with observability tools for AI, such asLa