Full-Stack Engineer
Recruits Lab
San Francisco, CA$110,000 - $220,000 a year
Job Description
Full-Stack Engineer | YC-Backed Frontier AI Research Lab
Location: San Francisco, CA (In-Person)
Compensation: $110,000 – $220,000 + 0.1% – 0.3% Equity
Experience: 0–4 Years (Open to exceptional new grads/Founding Engineers)
Visa Sponsorship: O-1, OPT
The Mission
We are representing AfterQuery, an elite AI research lab investigating the boundaries of machine intelligence. We aren't just building another wrapper; we are creating the mission-critical data infrastructure that shapes the development of future frontier models. Our customers include every major frontier AI lab in the world.
As one of our first engineering hires, you will own entire projects end-to-end. This is a high-stakes, high-impact role where you will see your work instantly influence the direction of the global AI landscape.
The Team
You will be joining a "cracked" founding team with deep roots in top-tier quant firms and AI labs, including:
Backgrounds: Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, and Silver Lake.
Research Pedigree: Berkeley AI Research (BAIR) and Stanford AI Lab (SAIL).
Backing: Funded by Y Combinator, BoxGroup, and senior leadership from Google DeepMind and Meta GenAI.
What You’ll Build
Scalable Infrastructure: Architect and optimize high-throughput data pipelines that experience heavy loads.
Full-Stack Workflows: Build complex data-capturing systems across web (Next.js) and desktop (Python).
AI Ops: Create the human-in-the-loop systems and RL environments that power frontier model training.
Technical Foundation: Set the engineering best practices and lay the groundwork for a rapidly growing team.
Requirements
Technical Excellence: Proficiency in Node.js/TypeScript and Python (Go is a plus).
Systems Expert: Hands-on experience with Redis, Elasticsearch, and Message Queues (Kafka/RabbitMQ) to build scalable, low-latency pipelines.
Cloud Native: Experience with serverless architecture and heavy data processing on GCP/AWS.
The "Builder" DNA: A GitHub "filled green," a background in founding startups, or experience at top-tier quant firms.
Academic/Professional Pedigree: Must come from a top-tier university, top quant firm, or have founding engineer experience.
Green Flags (The "AfterQuery" Fit)
You have worked with AI agents or RL environments.
You are proactive and thrive in intense, high-velocity environments.
You can clearly articulate why you want to pivot into AI Ops and join a startup now.
Why Apply?
Unprecedented Growth: One of the fastest-growing YC companies in history.
Founding Influence: Define and own data infrastructure from day one.
Elite Perks: Daily lunch and dinner covered, free gym membership, and health insurance.
Ownership: Generous equity grant vested over 4 years.
Are you ready to build the infrastructure that trains the next generation of AI?
[Apply Now / Message for Details]
Location: San Francisco, CA (In-Person)
Compensation: $110,000 – $220,000 + 0.1% – 0.3% Equity
Experience: 0–4 Years (Open to exceptional new grads/Founding Engineers)
Visa Sponsorship: O-1, OPT
The Mission
We are representing AfterQuery, an elite AI research lab investigating the boundaries of machine intelligence. We aren't just building another wrapper; we are creating the mission-critical data infrastructure that shapes the development of future frontier models. Our customers include every major frontier AI lab in the world.
As one of our first engineering hires, you will own entire projects end-to-end. This is a high-stakes, high-impact role where you will see your work instantly influence the direction of the global AI landscape.
The Team
You will be joining a "cracked" founding team with deep roots in top-tier quant firms and AI labs, including:
Backgrounds: Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, and Silver Lake.
Research Pedigree: Berkeley AI Research (BAIR) and Stanford AI Lab (SAIL).
Backing: Funded by Y Combinator, BoxGroup, and senior leadership from Google DeepMind and Meta GenAI.
What You’ll Build
Scalable Infrastructure: Architect and optimize high-throughput data pipelines that experience heavy loads.
Full-Stack Workflows: Build complex data-capturing systems across web (Next.js) and desktop (Python).
AI Ops: Create the human-in-the-loop systems and RL environments that power frontier model training.
Technical Foundation: Set the engineering best practices and lay the groundwork for a rapidly growing team.
Requirements
Technical Excellence: Proficiency in Node.js/TypeScript and Python (Go is a plus).
Systems Expert: Hands-on experience with Redis, Elasticsearch, and Message Queues (Kafka/RabbitMQ) to build scalable, low-latency pipelines.
Cloud Native: Experience with serverless architecture and heavy data processing on GCP/AWS.
The "Builder" DNA: A GitHub "filled green," a background in founding startups, or experience at top-tier quant firms.
Academic/Professional Pedigree: Must come from a top-tier university, top quant firm, or have founding engineer experience.
Green Flags (The "AfterQuery" Fit)
You have worked with AI agents or RL environments.
You are proactive and thrive in intense, high-velocity environments.
You can clearly articulate why you want to pivot into AI Ops and join a startup now.
Why Apply?
Unprecedented Growth: One of the fastest-growing YC companies in history.
Founding Influence: Define and own data infrastructure from day one.
Elite Perks: Daily lunch and dinner covered, free gym membership, and health insurance.
Ownership: Generous equity grant vested over 4 years.
Are you ready to build the infrastructure that trains the next generation of AI?
[Apply Now / Message for Details]