Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (Python/AI): Designing and building the backend infrastructure for AI-driven data operations with an accent on LLM architectures and graph-based data structures. Focus on creating an intelligent SQL ecosystem for query optimization and implementing agentic AI for enterprise data teams.

Location: Must be based in Sunnyvale, CA (Onsite)

Salary: $150,000 - $220,000

Company

Altimate AI is an AI-powered data engineering startup specializing in automating enterprise data operations through tools like DataPilot and DataMates.

What you will do

• Lead the development of backend infrastructure for LLM architectures, including RAG, ReAct, and Agent-based systems.
• Design and develop large-scale graph-based data structures to model complex data stores for AI context.
• Build a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking.
• Architect data pipelines for processing extensive datasets and develop AI-powered endpoints for SaaS and VSCode extensions.
• Contribute to open-source initiatives to support the developer community.

Requirements

• 10+ years of experience building Python-based web application backends and infrastructure.
• Extensive experience in building scalable backend systems, APIs, and microservices.
• Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Must be based in Sunnyvale, CA.

Nice to have

• Experience with FastAPI for building high-performance APIs.
• Familiarity with AI/ML concepts and Large Language Models (LLMs).
• Strong proficiency in SQL query profiling, optimization, and performance tuning.
• Experience with SQL Abstract Syntax Tree (AST) analysis and parsers like sqlglot.

Culture & Benefits

• Competitive base salary and equity (0.0% - 0.6%).
• Extensive professional development opportunities and resources for continuous learning.
• Intellectually stimulating environment working alongside Silicon Valley veterans.
• Direct impact on global data teams and opportunities to shape company direction.