Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems.
Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension.
Design and develop large-scale graph-based data structures that effectively model complex data stores.
Lead the design and development of a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking.

Requirements

10+ years of experience building Python-based web application backends and the infrastructure on which they run
Extensive experience in building scalable back-end systems, APIs, and microservices
Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
Experience with FastAPI for building high-performance APIs (preferred)
Familiarity with AI and machine learning concepts, particularly in the context of Large Language Models (LLMs) (preferred)
Strong proficiency in SQL, including query profiling, optimization, and performance tuning (preferred)
Experience with SQL Abstract Syntax Tree (AST) analysis and working with SQL parsers (preferred)

Benefits

Competitive salary and equity
Extensive professional development opportunities and resources for continuous learning
Dynamic and intellectually stimulating work environment with a team of talented engineers
Opportunities to shape the direction of the company and leave a lasting impact

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLFastAPIAPIsmicroservicescloud platformscontainerizationquery optimizationdata lineage trackinggraph-based data structures