Founding Engineer

Important Note:
- The client is now open to candidates already in the US or Canada.
- You do not need to have German citizenship or German language proficiency.
- Candidates should still be willing to relocate to San Francisco and ready to live in the hacker house.

To Be Considered for This Position, Please Take Note of the Following:
- You must have exceptional performance in fast-paced, high-impact environments (e.g., startups, building from scratch, shipping under pressure).
- Ideal candidates come from VC-funded startups, AI/ML tooling, and HR Tech.
- You can be located anywhere in the world as long as you have German citizenship.
- Visa sponsorship to US is E2 for anyone with a German passport.
- They would generally qualify for the visa, a very straightforward process.

Other Visa Sponsorship Categories:
- O1: For anyone with an exceptional background.
- They would need to be published, a founder, or similar to qualify.
- TN: For Canadian citizens.
- Visa transfers: For previous H1B holders.
- Happy to employ people who hold Stem OPT / F1 visa.

Relocation:
- Relocation to San Francisco and willingness to live in a hacker-house setup are non-negotiable.

Location: San Francisco, USA.
Remote / Hybrid / On-Site Policy: On-site; up to ~18 remote days per year; relocation & visa sponsorship offered.
Work Experience: Minimum 2 years of experience.
Language Requirement: English C2.
Employment Type: Full-time.
Technical Skills Required: Full Stack Development, React.JS, TypeScript, Next.js, Supabase, Prism (ORM).
Industry: AI Recruiting / HR Tech.
Positions Available: 1.

Company Mission:
- They are working on building the leading AI talent agent that is providing candidates strong access to job opportunities with leading startups in the US.

Core Values:
- They ship fast.
- They work hard and have fun on the journey.
- They are thinking and building their product talent-first.

Tasks:
- You will take ownership of one or more of these systems as they scale.

Candidate Data Infrastructure:
- "Senior SWE" and "Sr. Software Engineer" are the same thing, but keyword search does not know that.
- Build the pipeline that parses resumes, pulls from LinkedIn and GitHub, uses LLMs to extract real skills and seniority, and handles 10K+ outbound messages a day without landing in spam.

Agentic Conversation System:
- Build the agents that text candidates, answer their questions about compensation and role details, handle objections, and book calls.
- Without sounding like a bot or getting facts wrong.

Real-Time Matching Engine:
- Our AI agent needs to find "React engineer, 3-5 years, SF" and return the right people in under 100ms.
- Knowing that "React.js" and "ReactJS" are the same, and that 4 years at Google means something different than 4 years at a seed startup.

Requirements:
- They are not checking boxes.
- They want someone who has done hard things and can show their work.
- You have shipped production systems that handle real scale.
- User load, data volume, or complexity that breaks naive approaches.
- You are comfortable across the stack.
- Build a React component in the morning, debug a database query in the afternoon.
- You have worked with LLMs beyond basic prompting.
- Embeddings, RAG, agent architectures, or similar.
- You make decisions with incomplete information.
- Ship, learn, iterate.
- Do not wait for perfect specs.
- You have built something from scratch.
- Side project, startup, internal tool.
- Something you owned end-to-end.

Location: Twin Peaks, San Francisco, CA, USA

Skills required for this job:

• Cloud computing
• Full-stack development
• Large language model (LLM)
• Next.js
• Prisma
• React.js
• Retrieval-augmented generation (RAG)
• Software engineering
• Supabase
• System architecture
• TypeScript