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