Software Engineer - Platform / Applied AI (Full-Stack)
- Salary
- $260K–$290K
- Moves you to
- United States
- Support
- Visa sponsorship
- Posted
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* Hiring on behalf of our client
Title: Software Engineer - Platform / Applied AI (Full-Stack)
Time: Full-Time
Location: In-person (San Francisco, CA)
Compensation: $260,000 - $290,000 base salary (OTE $460,000 - $690,000)
The Company
Our client is an applied research lab curating data solutions for foundation model development. As one of the fastest-scaling AI infrastructure companies, they reached a $100M+ annual revenue run rate within roughly a year of founding and raised at a $3.2B valuation. They partner directly with leading frontier AI research labs to deliver high-quality data that powers the next generation of foundation models.
Role Overview
Our client is seeking a Platform and Applied AI Engineer to own the core data infrastructure that powers their work with frontier labs. Sitting adjacent to the founding team, you will shape the systems, architecture, and engineering practices that support high-throughput pipelines and full-stack web surfaces. This role offers direct access to leadership, full end-to-end ownership, and the opportunity to make critical greenfield infrastructure decisions in an extremely fast-paced environment.
Key Responsibilities
- Build and scale complex data-capture workflows across web (Next.js) and desktop (Python), owning reliability and throughput end-to-end
- Architect and optimize high-throughput data pipelines capable of handling heavy production loads
- Set engineering best practices and establish the architectural groundwork for a rapidly scaling engineering organization
- Collaborate directly with the founding team to define product strategy and ship features quickly
- Own greenfield infrastructure decisions across storage, caching, search, and message-queue architectures
- Design, implement, and maintain resilient distributed systems and internal tooling
Qualifications
- Degree from a top university, prior experience at a top quantitative trading firm, or previous experience as a founding engineer
- 0-4 years of high-impact engineering experience with a strong builder mindset
- Strong coding fundamentals in Node.js / TypeScript, Python, and/or Go
- Deep understanding of distributed systems, scalability challenges, and modern system design
- Highly proactive, autonomous approach with a strong drive to build in a high-velocity startup environment
- Excellent problem-solving skills and the ability to operate across the entire stack
Benefits & Perks
• Generous equity grant vested over 4 years
• 401(k) with employer match
• Comprehensive health insurance
• Daily lunch and dinner provided
• Free gym membership
• Visa sponsorship available (H-1B, O-1, OPT)
