Member of Technical Staff, AI

Member of Technical Staff – Applied AI & Infrastructure

Location: Palo Alto, CA (On-site 5 days/week) or San Francisco (flexible commute)
Compensation: $150,000 – $300,000 base
Equity: Extremely competitive
Visa Sponsorship: Available (majority of team already on visas)
Type: Full-time
Start Date: ASAP

This is a rare opportunity to work at the frontier of web and AI infrastructure, helping build foundational systems that allow AI agents to interact with the web as fluently as humans. The team is backed by top-tier investors, has significant seed funding, and is led by respected builders from the AI and systems world.

You’ll join an elite, high-trust engineering culture that values speed, ownership, and craft. Engineers here have full visibility across product, infra, and research—this is not a narrow role, but one with scope and leverage.

• Build backend infrastructure and APIs that power AI-native interactions with large-scale web data
• Design systems for retrieval, ranking, parsing, and reasoning—turning unstructured data into actionable knowledge
• Collaborate across research, product, and design teams to move ideas from concept to production
• Ship core systems used in real-world customer-facing AI applications
• Help define best practices in infra, observability, and performance optimization for agent-based computing

• 2–6 years of software engineering experience, ideally at high-velocity startups or AI-first product teams
• Background in infrastructure, backend systems, or AI/ML engineering
• Hands-on experience building APIs and backend services in Python (bonus: Rust or C++)
• Product sensibility and ownership mindset—you ship code that matters
• Strong engineering fundamentals, with proof of technical depth via prior work, research, or academic achievement

• Experience with retrieval-augmented generation (RAG), agent orchestration, or real-time data systems
• Academic or project pedigree (e.g. Olympiads, SAIL, MIT CSAIL, IITs, or impactful open-source work)
• Familiarity with production AI systems, evaluation pipelines, and real-time inference tooling

• In-person culture based in Palo Alto (with flexibility for SF commuters)
• Low process, high agency environment focused on impact
• Everyone is a builder: you own what you ship, and your work is immediately visible
• Strong mentorship, elite technical bar, and high trust across the org

This role is ideal for engineers who want to shape the foundation of how AI interacts with the modern web—moving fast, building real systems, and working shoulder-to-shoulder with exceptional teammates.