Software Engineer, AI Systems & Scalable Pipelines

Velocity Tech; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Velocity Tech in San Francisco is seeking a Software Engineer to design and build scalable systems for reinforcement learning environments. You will work closely with AI researchers to ensure high-quality data and robust training environments.

The role involves building petabyte-scale ETL pipelines, developing agentic QA systems, and strengthening security and infrastructure to scale with the business. The team values pragmatic problem solvers who can operate across the full stack.

Qualifications

• 1–10 years of experience building high-quality, production-grade software.
• Experience developing full-stack applications.
• Detail-oriented, pragmatic problem solver who thrives on robust systems in fast-paced settings.
• Strong systems thinking and ability to work across the entire tech stack.

Responsibilities

• Designing and building scalable systems to generate reinforcement learning environments.
• Developing agentic QA systems to assess the quality, reliability, and fairness of generated environments.
• Collaborating directly with AI researchers to understand effective training data.
• Building and operating petabyte-scale ETL pipelines with millions of concurrent jobs.
• Supporting the development of new product lines as the company expands beyond coding environments.
• Strengthening security, compliance, and infrastructure as the business scales.

Skills

Full-stack development

Systems thinking

Problem solving

Team collaboration

Tools

Production-grade software

Job description

Velocity Tech in San Francisco is seeking a Software Engineer to design and build scalable systems for reinforcement learning environments. You will work closely with AI researchers to ensure high-quality data and robust training environments.

The role involves building petabyte-scale ETL pipelines, developing agentic QA systems, and strengthening security and infrastructure to scale with the business. The team values pragmatic problem solvers who can operate across the full stack.