AI Summary
Build and scale complex data-capture workflows, architect and optimize high-throughput data pipelines, and collaborate with the founding team to define product strategy.
Key Highlights
Build and scale complex data-capture workflows
Architect and optimize high-throughput data pipelines
Collaborate with the founding team to define product strategy
Key Responsibilities
Build and scale complex data-capture workflows across web (Next.js) and desktop (Python)
Architect and optimize high-throughput data pipelines under heavy load
Collaborate with the founding team to define product strategy and ship features fast
Technical Skills Required
Benefits & Perks
$180,000–$220,000 + competitive equity
Daily lunch & dinner
Free gym membership
Health insurance
Job Description
San Francisco, CA
- On-site
- Full-time Compensation: $180,000–$220,000 + competitive equity
An AI research lab pushing the boundaries of artificial intelligence through novel datasets and experimentation, with the frontier foundation-model labs as its customers. Backed by top-tier investors, growing fast with strong revenue traction, and building out its founding engineering team.
Founded 2025
- 11–50 people
- Industry: AI research / data infrastructure
As one of the core engineers, you'll help build the data infrastructure shaping the next generation of frontier models. You'll be one of the first hires, own entire projects end-to-end, and see your impact immediately.
What You'll Be Doing
- Build and scale complex data-capture workflows across web (Next.js) and desktop (Python)
- Architect and optimize high-throughput data pipelines under heavy load
- 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
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- GCP/AWS (serverless, cloud functions)
- Kubernetes
- Redis
- Elasticsearch
- Kafka / RabbitMQ
- NoSQL
- APIs
- Must come from a top university (US/Canadian/UK), top quant firm, or have founding engineer experience.
- Strong coding fundamentals in Node.js / TypeScript, Python and/or Go.
- Deep understanding of distributed systems, scalability challenges, and system design.
- Familiarity with cloud platforms (GCP/AWS), Kubernetes, APIs, NoSQL databases.
- Ability to reason about trade-offs and balance speed vs reliability.
- Strong communication skills and a bias toward ownership, curiosity, and delivering simple solutions to complex problems.
- Bonus: Experience with RL environments, agentic systems, or human-in-the-loop workflows.
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- GitHub is filled green, a builder at heart
- Experience working with AI-agents and RL environments
- Preferably someone who has worked at a top tier quant firm or as a founding eng (or multiple internships) at high-growth startups
- Has trialed or succeeded in past fast-paced startup roles with strong references.
- Works autonomously, yet collaboratively, and doesn't burn out under heavy load.
- We want a SWE that can pretty much work banker hours
- Ex-founders where their product is pretty sophisticated and complex
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- Isn't proactive
- Can't articulate why they want to pivot into AI ops or join a startup now.
- Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.
- Wants work life balance
- Founding role — own and define the data infrastructure from day one, with immediate visible impact
- Build the data infrastructure shaping frontier-model development, serving the frontier AI labs
- Fast-growing company with strong revenue traction and a path to lead and grow an engineering team
- Competitive salary + equity (4-year vest), daily lunch & dinner, free gym membership, health insurance
- Location: San Francisco, CA
- Work policy: On-site
- Compensation: $180,000–$220,000 + equity
- Visa sponsorship: O-1, OPT
- Employment type: Full-time
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