Unsiloed AI — Founding Backend Engineer

Unsiloed AI — Founding Backend Engineer

Type: Full-time | On-site | San Francisco, CA
Compensation: $150,000–$300,000 + 0.1%–1% equity
Hiring count: 1
Visa sponsorship: Yes — H-1B, O-1, OPT
Reports to: Founders / research team

Unsiloed converts complex documents into LLM-ready data. Production-grade APIs ingest, parse, structure, and split documents across formats like PDF, PPT, and Excel into clean Markdown and JSON that AI agents and LLMs can reliably work with from day one — preserving document structure and hierarchy while capturing domain-specific context for high‑stakes workflows across Finance, Legal, Healthcare.

Founded: 2024 | Team size: 1–10 (Seed) | Total funding: $7.5M (Seed) | Industry: AI Tools | Website: unsiloed.ai | Office:
San Francisco, CA

• Founding technical seat: This role defines the engineering archetype and sets the technical ceiling for the team — the first few hires matter disproportionately.
• End‑to‑end ownership: Own the full stack from core backend architecture and infrastructure through deployment, reliability, and developer experience.
• Real enterprise traction: Already deploying production AI for enterprise customers across high‑stakes verticals (Finance, Legal, Healthcare).

Founding Software Engineer based in San Francisco, building toward a small, talent‑dense team. The role is backend & infrastructure‑heavy: own production systems end‑to‑end and turn research prototypes into production‑grade, scalable systems alongside founders and the research team.

• 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
• Work closely with the founders and research team to turn research prototypes into production‑grade, scalable systems

• Experience building and operating scaled production systems
• Strong backend engineering skills (Python required; C++/Rust is a major plus)
• Experience with distributed systems (microservices, parallel processing, queues, caches like Redis)
• Deep familiarity with cloud infrastructure (AWS, GCP, Azure)
• Hands‑on experience with Docker, Kubernetes, Helm, and infrastructure‑as‑code (Terraform / Pulumi)
• An ownership mindset
• Nice to have: experience serving ML / VLM / GPU‑heavy workloads

Tech stack: Python (required); C++/Rust (plus); distributed systems (microservices, queues, Redis); cloud (AWS/GCP/Azure);
Docker, Kubernetes, Helm;
Terraform / Pulumi

• 2-5 years of experience
• Ability to work in‑person at San Francisco office
• Hands‑on experience building backend infrastructure

• 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

Salary: $150,000–$300,000
Equity: 0.1%–1%
On‑site policy:
In‑person, San Francisco office
Visa sponsorship: H-1B, O-1, OPT

Employment type:

Full‑time

Location:

San Francisco, CA

Benefits & Perks: Competitive compensation + equity
· Full health insurance coverage
· Free company laptop
· Doordash/Uber credits