Job Description
Job DescriptionBack-end Engineer – New York, NYPLEASE READ THOROUGHLY TO AVOID REJECTION.
- Experience: Strong back-end systems and infrastructure experience (Rust expertise required).
- Visa/Citizen Requirement: Sponsorship available.
- Location: New York, NY (Partial relocation package offered).
- Relocation Offered: Partial.
- Education: Not specified.
- W2/1099 Candidates Only.
- Top Skills (Must-Have): Rust proficiency, back-end systems engineering, infrastructure, systems optimization.
Position Overview: Join a fast-growing, open-source platform focused on optimizing large language model (LLM) applications. As a Founding Member of Technical Staff, you’ll contribute to building a cutting-edge feedback loop that makes LLMs smarter, faster, and more cost-effective. This role is highly technical and hands-on, with a strong emphasis on back-end systems engineering, particularly in Rust.Key Responsibilities:
- Lead and deliver large-scale back-end infrastructure projects from start to finish.
- Develop and optimize real-time feedback loops and metric collection systems.
- Build systems that integrate prompt optimization, model tuning, and inference strategies.
- Collaborate across infrastructure, research, and experimentation teams.
- Design and implement advanced experimentation frameworks and observability tools.
- Work on-site in NYC with a highly focused, collaborative technical team.
Qualifications:
- Proven technical foundation in systems engineering.
- Strong background in back-end infrastructure development.
- Expertise in Rust (including generics, lifetimes, traits, smart pointers, etc.).
- Demonstrated ability to execute large, complex projects.
- Desire to grow personally and professionally in a fast-moving, technical environment.
- Willingness to work on-site, five days a week, in New York, NY.
Why Join?
- Highly competitive compensation: $200,000 - $250,000 base salary + meaningful equity + benefits.
- Opportunity to work on open-source projects with high visibility.
- Rapid personal and technical growth in systems and machine learning domains.
- Backing from leading venture funds specializing in AI, infrastructure, and developer tools.
- Collaborative, technical, in-person work environment.
Skills:Rust, Back-end systems engineering, Infrastructure, Real-time optimization, Inference frameworks, A/B testing, Open-source development, Systems observability, Experimentation frameworks