Clera: AI talent agent matching professionals with high-growth startup roles
3+ YOE3+ years of engineering experience, strong computer science fundamentals, Rust or Go proficiency, and production experience designing distributed systems, databases, or storage infrastructure.
Aurorin: Modern AI-native CAD software for mechanical engineers
Strong systems programming/native app background, experience with Swift and C++, GPU programming experience preferred, proactive and high-responsibility engineer.
Compresr: Provides an API that compresses LLM context to reduce costs.
Experienced full-stack engineer with strong backend fundamentals, concurrency/distributed systems, AWS production deployment, Python and light frontend skills, and excellent communication.
TrueMeter: AI-powered platform for commercial energy savings and bill management.
Experienced full-stack engineer with production experience in TypeScript/React/Next.js, backend APIs and Postgres, desktop/web (Electron or Tauri), LLM features in production, CI/CD, testing, observability, and customer-facing product work.
Pax Historia: AI-powered alternate-history grand strategy sandbox game.
Strong software engineering fundamentals, fast learning ability, attention to detail, data orientation, and rigorous verification mindset. Experience with this exact role is not required.
Momentic: AI-native platform for automated software testing and quality assurance.
3+ YOERequires 3+ years of experience, LLM performance tuning, evaluations, observability, application integration, fine-tuning, evaluation dataset engineering, and proficiency with modern software technologies.
Python, TypeScript, React, Next.js, Node.js, PostgreSQL, Google Cloud, Kubernetes, Selenium, Cypress, Playwright, Together AI, Baseten
YieldNest: Liquid restaking protocol for risk-adjusted DeFi yields.
2+ YOE2–5+ years software engineering experience; proficiency in two of Next.js, TypeScript, C#, Go, or Python; experience with event-driven architectures, full-stack ownership, and AI-assisted development tools.
Hypercubic: AI platform for modernizing large-scale legacy enterprise software.
0+ YOEFounding backend engineer with strong engineering and design taste; ownership over architecture and engineering culture. Experience with AI-powered systems and legacy modernization is a plus.
uRun: Infrastructure cloud for interactive, stateful AI inference.
7+ YOE7+ years backend experience; proficient in TypeScript/Node.js or Python/Go; API design, distributed systems; cloud, containers, performance, and concurrency; real-time/latency-sensitive systems.
Lance: Autonomous AI agents for hotel operations and guest services.
Proficient in software development; experience with ML/AI; design scalable systems; strong collaboration; startup mindset; BS or higher in CS/Engineering.
Mesh: AI-powered governance layer for financial accounting and operations.
Experienced engineer with strong systems judgment, customer obsession, first-principles thinking, AI-native engineering, end-to-end ownership, and ability to build reliable backend and workflow systems.
Dataleap: Building an agentic work platform for enterprise teams.
Backend-heavy, AI-native full-stack engineer with strong Go experience, product sense, ability to scope and deliver end-to-end, build agentic systems, review code quickly; former founder a plus.
Amari: AI agents automating document-heavy workflows for the logistics industry.
5+ YOE5-9 years of professional software engineering; senior IC or tech lead; customer-embedded engineering background; strong Python fundamentals; experience with AI/LLM infrastructure; able to ship production systems at scale.
Mondrio: AI-native platform for agentic pricing and revenue management.
8+ YOE8+ years engineering experience with production LLMs, built evals/observability, shipped LLM features, strong communication, product-engineer instincts, US work authorization required.
Graviron Aerospace: Developing reusable autonomous orbital drones for space logistics.
2+ YOEBachelor's degree in engineering, 2+ years of propulsion-related experience, spacecraft propulsion fundamentals, engineering analysis or simulation experience, and proficiency with Python, MATLAB, Simulink, or comparable tools.