AI Summary
Architect, build, and scale core backend systems for document intelligence and VLM-based workflows. Own production infrastructure end-to-end including deployments, monitoring, and reliability. Requires 2-5 years of hands-on backend experience with Python and cloud infrastructure.
Key Highlights
Founding engineering role with end-to-end ownership of production systems
2-5 years of hands-on backend infrastructure experience required
On-site in San Francisco with equity compensation ($150K-$300K)
Key Responsibilities
Architect, build, and scale core backend systems powering document intelligence and VLM-based workflows
Own production infrastructure end-to-end: deployments, monitoring, performance, reliability
Design and operate high-throughput, low-latency services in real production environments
Take systems from R&D → production → enterprise scale
Build and maintain cloud and on-prem deployments (Docker, Kubernetes, Helm) for enterprise customers
Establish best practices for CI/CD, observability, debugging, and incident response
Technical Skills Required
Benefits & Perks
Visa sponsorship (H-1B, O-1, OPT)
Full-time employment
Nice to Have
C++/Rust experience
Experience at companies with strong technical DNA
Research experience
Job Description
San Francisco, CA
- On-site
- Full-time Compensation: $150,000–$300,000 + 0.1%–1% equity
A Seed-stage AI company (founded 2024, $7.5M raised) building production-grade systems that convert complex documents into LLM-ready data for AI agents and large language models. The product preserves document structure and hierarchy while capturing domain-specific context for high-stakes workflows across Finance, Legal, and Healthcare, and is already deploying with enterprise customers. Founded 2024
- 1–10 people
- Industry: AI Tools.
A founding, backend & infrastructure-heavy engineering role on a small, talent-dense team. You'll own production systems end-to-end and partner closely with the founders and research team to turn research prototypes into production-grade, scalable systems.
What You'll Be Doing
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- Architect, build, and scale core backend systems powering document intelligence and VLM-based workflows
- Own production infrastructure end-to-end: deployments, monitoring, performance, reliability
- Design and operate high-throughput, low-latency services in real production environments
- Take systems from R&D → production → enterprise scale
- Build and maintain cloud and on-prem deployments (Docker, Kubernetes, Helm) for enterprise customers
- Establish best practices for CI/CD, observability, debugging, and incident response
Requirements
- 2-5 years of experience
- Ability to work in-person at San Francisco office
- Hands-on experience building backend infrastructure
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- Graduated from top-tier schools (IIT Bombay, Stanford, etc.)
- Very early stage startup experience (first 1-3 engineers)
- Experience at companies with strong technical DNA
- Research experience
- Only big tech experience (Google, Microsoft, Amazon) without startup exposure
- Experience only on abstract/high-level work without hands-on technical involvement
- 10+ years experience (too senior, not hands-on enough)
- Only enterprise/large company experience without touching core technical elements
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- A founding technical seat that defines the engineering archetype and sets the team's technical ceiling
- True end-to-end ownership across backend architecture, infrastructure, deployment, and reliability
- Real enterprise traction in high-stakes verticals (Finance, Legal, Healthcare)
- Location: San Francisco, CA
- Work policy: In-person
- Compensation: $150,000–$300,000 + equity
- Visa sponsorship: H-1B, O-1, OPT
- Employment type: Full-time
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