Staff Software Engineer, Full Stack - Gen AI
$252k - $315k • Remote • New York, NY; San Francisco, CA; Seattle, WA; New York, NY
Posted 5d ago
Job Location
New York, NY; San Francisco, CA; Seattle, WA; New York, NY
Tech Stack
Remote Work Policy
Fully remote
Categories
LLM Engineer
About the job
Our Generative AI Data Engine powers advanced LLMs and generative models through RLHF, human data generation, model evaluation, safety, and alignment. The data produced is crucial for how humanity will interact with AI. This horizontal, high-impact Staff Fullstack Engineer & Architect position reports directly to the Director of Contributor Engineering. Your scope spans across all Contributor (CB) teams, powering AI data operations from building high-impact datasets to optimizing contributor onboarding and incentives, and safeguarding data integrity. You will act as an organizational architect and tech lead, embedding into high-priority projects to guarantee execution, unblock teams, and ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.
Responsibilities
- Deploy flexibly into critical, fast-moving product initiatives across the CB organization.
- Lead the architectural overhaul of platform infrastructure for sustainability, robustness, and LLM integration.
- Lead architecture decisions for scalability, reliability, and performance.
- Mentor and uplevel engineers across the team.
- Partner with product and leadership to shape roadmap and priorities.
- Own large, ambiguous problem spaces end-to-end.
- Work across backend, frontend, and ML systems.
Requirements
- 7+ years of full-time engineering experience post-graduation.
- Proven track record of operating as a Tech Lead, Architect, or Principal Engineer.
- Track record of shipping high-quality products and features at scale.
- Experience with LLMs, vector databases, and other AI technologies.
- Proficient in Javascript/Typescript and SQL.
- Experience with Kubernetes.
- Experience with major cloud providers (AWS, Azure, GCP).
Benefits
- Base salary
- Equity
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend (potential)