Senior Applied AI Engineer (Python)

TL;DR

Senior Applied AI Engineer (Python): Building and extending backend systems for GPU-resident distributed data systems with an accent on Python-heavy services and causal, graph-based neural systems. Focus on designing high-performance APIs, optimizing data pipelines, and ensuring reliability of production AI infrastructure.

Location: Five days onsite in downtown San Francisco

Salary: $182,000 – $207,000

Company

An applied science company building high-performance GPU-resident distributed data systems for Fortune 500 clients.

What you will do

• Build production backend services and APIs in Python.
• Develop the glue between the compute layer and customer-facing products.
• Design and maintain data pipelines and integration layers.
• Collaborate with science and product teams to ship iterative improvements.
• Mentor early-career engineers and contribute to technical direction.

Requirements

• 5+ years of backend software engineering experience in production.
• Strong Python fundamentals and expertise in building backend services.
• Ability to work across the stack (data, infrastructure, APIs).
• Experience shipping in fast-moving, ambiguous environments.
• Must be based in or able to work onsite in San Francisco.

Nice to have

• Experience with GPU or accelerator-adjacent engineering.
• Background in High-Performance Computing (HPC).
• Familiarity with causal inference or graph-based systems.
• Experience partnering with applied science or research teams.

Culture & Benefits

• Opportunity to work on novel GPU-resident infrastructure.
• High ownership and short path from idea to production.
• Collaborative environment with a small, high-impact team.
• Work with industry-leading clients like NVIDIA and Delta.