Role Overview:
This role is for an experienced and high-caliber engineer with strong proficiency in Python and hands-on expertise integrating Large Language Models (LLMs) into production systems. This individual contributor (IC) role focuses on designing robust backend services and orchestrating LLM workflows.
Please note: this is a software engineering role, not one in data annotation, data science, or analytics.
What does day-to-day look like:
Designing and implementing production-grade APIs and backend services in Python
Building and maintaining LLM-powered systems, including agent frameworks and orchestration using tools like LangChain and LangGraph
Efficiently integrating LLM calls into backend workflows
Collaborating across functions to develop reliable, maintainable systems
Requirements:
5+ years of experience as a backend or full-stack engineer with a strong backend focus
Advanced proficiency in Python
Practical experience integrating LLMs (., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar)
Background in machine learning engineering is a strong plus
Solid understanding of service architecture and production deployment workflows