Founding Full Stack Engineer
| 1. | AI Builder Intern - Agentic AI (Mondee) Austin, Texas, United States | on-site | internship | internship | ai, agentic ai, llms | 1mo ago |
| 2. | AI Systems Weirdo (UniteGPS) South Portland, ME, United States | on-site | full-time | mid | ai systems design, route optimization, gps tracking | 1mo ago |
| 3. | Software Engineering Intern (Maritime Technology Startup (Stealth)) El Segundo, California, United States | $40 – $48/hr | on-site | internship | internship | python, go, javascript | 1mo ago |
| 4. | AI Builder Intern - Agentic AI (Tabhi) Austin, Texas, United States | on-site | internship | internship | agentic ai, llms, agent frameworks | 1mo ago |
| 5. | Senior Founding Engineer (Ambral) New York City, New York, United States | $185,000 – $245,000/yr | on-site | full-time | senior | typescript, nuxt, postgres | 1mo ago |
| 6. | Marketing Productivity Engineer (Sigma Computing) San Francisco, United States+2 | $130,000 – $165,000/yr | on-site | full-time | senior | performance marketing, growth engineering, marketing operations | 1mo ago |
| 7. | Software Engineer (Cognition) San Francisco, California, United States | From $260,000/yr | on-site | full-time | mid | python, distributed systems, ai | 1mo ago |
| 8. | Intelligence Architect (Basis) New York, New York, United States | $150,000 – $225,000/yr | on-site | full-time | senior | applied machine learning, natural language processing, system design | 1mo ago |
| 9. | Senior GNC Engineer (Inversion) Playa Vista, California, United States | $139,000 – $199,000/yr | on-site | full-time | senior | kalman filtering, sensor fusion, state estimation | 1mo ago |
| 10. | Forward Deployed Engineer (Stuut) New York City, New York, United States | $150,000 – $240,000/yr | on-site | full-time | senior | python, apis, etl | 1mo ago |
Oximy is building the control layer that makes AI safe and manageable for the world’s most critical workloads. We are a small, fast team working at the intersection of security, network infrastructure, operating systems, and modern AI systems.
AI adoption inside enterprises is already widespread. Visibility is not. Tools span browsers, native desktop apps, agents, and personal accounts. Most organizations are flying blind.
We build the layer that shows what is actually happening.
The role
This is a founding engineering role with real ownership. You will build core product surfaces and also work closely to the system boundary (network, user kernels etc).
You’ll ship user-facing features, backend services, and native components across macOS and Windows. You’ll work on performance, data correctness, and the pipelines that turn raw signals into something enterprises can rely on. You’ll help shape the architecture that governs how AI usage is observed, interpreted, and acted on at scale.
This role cuts across product, infra, and systems. There is no strict line between “frontend” and “backend” here.
What you’ll work on
- Core product surfaces across Pulse, Spend, and Oversight
- High-signal UIs that explain AI usage to security, IT, finance, and AI teams
- Backend services and APIs that ingest and query large volumes of usage data
- Native macOS and Windows applications that operate close to the OS (Understanding the network is a huge plus!)
- Performance, reliability, and correctness across the stack
- Early customer deployments and feedback loops with real enterprises
- Internal tooling and pipelines that support measurement, analysis, and iteration
What we’re looking for
- Strong full-stack experience. You’re comfortable moving across frontend, backend, and systems code.
- Experience shipping production software used in real environments.
- Comfort working close to the OS (or curiosity to learn quickly).
- Good judgment around tradeoffs. You know when to go deep and when to keep it simple.
- Clear communication. You can explain what you’re building and why.
- Bias toward ownership. You don’t wait for permission to fix things.
Bonus experience
- Native desktop development (macOS or Windows)
- Systems programming or performance-sensitive code
- Security, observability, or enterprise infrastructure
- Data-heavy products or analytics platforms
- Model evaluation, fine-tuning, or GPU-backed systems (nice to have, not required)
What this role offers
This role is for someone who wants extreme ownership, fast iteration, and the chance to build foundational infrastructure early. You’ll be making decisions that matter, working with people who have built and scaled serious systems before.
Location
San Francisco preferred. Open to strong US-based candidates.
Compensation
Competitive salary. Meaningful equity. Early-stage ownership.