Job Overview
Location
San Francisco
Job Type
Full-time
Category
Engineering
Date Posted
July 21, 2026
Full Job Description
📋 Description
- • A seed-stage AI infrastructure company is hiring 2–3 Founding Engineers to work on the core of a graph-native context and memory platform purpose-built for AI agents.
- • This is not a feature factory role. You will own significant, high-impact pieces of the platform — query engine, storage layer, graph internals — and make architecture decisions that will shape the product for the next decade.
- • You will work directly with the founding team, and your name will be on the design docs and the pull requests in the same week.
- • The company builds a GraphDB on object storage with semantic search, git-style temporal versioning, and entity resolution — giving AI agents persistent, structured, and temporally aware context.
- • Backed by prominent investors and researchers in the AI space, the team is small, high-conviction, and building foundational infrastructure that real AI agents depend on in production.
- • You will own and ship core infrastructure: query execution, graph storage layer, and distributed systems components.
- • You will make architecture decisions with long-term product impact alongside the founding team.
- • You will contribute to benchmark and research work that defines the technical category.
- • You will participate in architecture reviews and make hard technical trade-offs with real production consequences.
- • You will help raise the technical ceiling as the team grows — influencing roadmap, hiring bar, and engineering culture.
🎯 Requirements
- • 3+ years of systems programming and distributed systems development.
- • Proficiency in Rust and/or Go at a production level.
- • Experience designing and implementing core infrastructure components such as query execution engines, storage layers, or graph internals.
- • Proven track record of architectural decision-making — you've written design docs and shipped the code in the same sprint.
- • Comfort owning large, ambiguous problems without a playbook; experience in small, high-ownership founding or early-stage teams.
- • Strong CS fundamentals: you reason from first principles, not just frameworks.
🏖️ Benefits
- • Salary: $160,000 – $270,000 per year.
- • Meaningful early-stage equity — the team is committed to builders owning a real piece of what they create.
- • Learning budget: books, courses, conferences, and compute for personal experiments.
- • Wellness programs and top-tier hardware & software.
- • Free daily meals in the office.
- • Flexible PTO focused on enabling deep work.
- • Periodic team offsites.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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