Software Engineer - Platform/Applied AI
AfterQuery, San Francisco
- Pay
- $260K–$290K / year
- Work type
- Onsite
- Level
- Not stated
- Area
- ML / AI engineering
- Posted
- Apr 14, 2026
About the role
ABOUT AFTERQUERY
AfterQuery https://www.afterquery.com/ is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it.
Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
WHY APPLY
Massive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.
Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.
Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.
Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.
OVERVIEW
As one of our core engineers, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will be one of our first hires, and will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly.
RESPONSIBILITIES
- Build and scale complex data capturing workflows across web (Next.js) and desktop (Python)
- Architect and optimize data pipelines that experience high throughput, with heavy loads
- Collaborate with the founding team to define product strategy and ship features fast.
- Set engineering best practices and lay the groundwork for future team growth.
REQUIRED QUALIFICATIONS
- Proficiency in JavaScript (Next.js) and Python, with demonstrated experience building full-stack web applications
- Experience with serverless architecture and cloud functions for implementing heavy data processing (GCP/AWS)
- Storage, caching & search: Hands‑on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) to build scalable, low‑latency pipelines.
- Experience getting your ideas into production (founder experience preferred)
PREFERRED QUALIFICATIONS
- Background in AI research, LLM evaluations, or human‑in‑the‑loop systems
COMPANY BENEFITS (FOR ELIGIBLE EMPLOYEES):
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Listed on AfterQuery's Ashby job board; checked 23 h ago. First seen by us 25 h ago. Being listed doesn't mean the team is actively interviewing.