Backend Engineer, AI / Search
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Job description
We’re building an AI-powered legal intelligence platform to reimagine the $350B enterprise legal market, one of the most underserved spaces for decades. Our team comes from Google, Meta, Airbnb, Amazon, top law firms, and startups — and we’re backed by top VCs. As part of our founding engineering team, you’ll play a critical role in building core technology and ship everyday.
What you’ll do:
• Build and scale AI-driven search & ranking systems (Elasticsearch, Vector DB).
• Develop backend infrastructure to handle document-heavy workloads.
• Work closely with product engineers to translate customer needs into features.
• Work on document pipelines, OCR, and RAG.
• Collaborate directly with founders and customers to ship fast and drive product direction.
• Example challenge: Design a system that can automatically find and compare similar clauses across millions of past contracts.
What we’re looking for:
• 3-7 year of experiences
• Hustler mindset; comfortable in a fast-paced, 50~60+ hours/week startup
• Previous backend experience, ideally at an early stage startup
• Proficient in Python / Typescript
• Previous AI search and ranking experience
• Familiarity with serverless infrastructure and LLM prompt engineering
• Experience with Elasticsearch and document-heavy systems
• OCR/document parsing experience (huge plus)
• Previous experience in CRM, gov tech, reg tech, or legal tech (huge plus)
Location: Hybrid in San Francisco (2–3 days/week in person)
Tech stack:
Next.js / React / Typescript / Python / AWS
Comp: $150K–$250K base + equity, full benefits, 401(k), flexible PTO — final package depends on interview and experience.
Interview process:
• Apply with your GitHub or links showcasing what you’ve built.
• 2–3 conversations with founders or future teammates (experience, product brainstorming / design, and culture fit). No coding test.
• A short paid work trial in SF (a couple days, can accommodate at weekends) to implement a real Ruli feature.