Developer Experience Engineer
| 1. | AI Builder Intern - Agentic AI (Mondee) Austin, Texas, United States | on-site | internship | internship | ai, agentic ai, llms | 3w ago |
| 2. | AI Systems Weirdo (UniteGPS) South Portland, ME, United States | on-site | full-time | mid | ai systems design, route optimization, gps tracking | 3w ago |
| 3. | Software Engineering Intern (Maritime Technology Startup (Stealth)) El Segundo, California, United States | $40 – $48/hr | on-site | internship | internship | python, go, javascript | 3w ago |
| 4. | AI-Native Founding Engineer (Jobright.ai) San Francisco, California, United States | $130,000 – $170,000/yr | on-site | full-time | lead | typescript, react, sql | 3w ago |
| 5. | MLE @ Krnel (NYC, Full-Time) (krnel.ai) New York, New York, United States | on-site | full-time | mid | machine learning, devops, ci/cd | 3w ago |
| 6. | AI Builder Intern - Agentic AI (Tabhi) Austin, Texas, United States | on-site | internship | internship | agentic ai, llms, agent frameworks | 3w ago |
| 7. | Forward Deployed Engineer (Legion Intelligence) Washington DC, United States | $185,000 – $260,000/yr | on-site | full-time | mid | python, javascript, typescript | 3w ago |
| 8. | Senior Founding Engineer (Ambral) New York City, New York, United States | $185,000 – $245,000/yr | on-site | full-time | senior | typescript, nuxt, postgres | 3w ago |
| 9. | Full-Stack Engineer- Series B Ai · $200-300K + equity (Benchstack Ai) San Francisco, California, United States+1 | $200,000 – $300,000/yr | on-site | full-time | senior | react, typescript, python | 3w ago |
| 10. | 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 | 3w ago |
Raindrop is the monitoring platform for AI agents. Engineering teams at some of the fastest growing AI companies including Replit, Speak, Clay, and more use Raindrop to get alerts about silent failures with their AI agents. Raindrop sends alerts when AI agents misbehave, so AI engineers can dig into the conversations or traces, understand the root cause, and fix it, fast.
Why It Matters
AI agents fail constantly in ways both hilarious and terrifying. Regular software throws exceptions. But AI agents fail silently, leaving engineers with almost no visibility into how their agents are actually performing.
The current status quo is sifting through millions of logs and trying debug flaky evals that just aren't matching real world results. Evals are like unit tests, they confirm your model got specific test cases right. But in the real world agents call thousands of tools, run for hours, and encounter millions of unpredictable actions.
That’s where Raindrop comes in. It learns the unique shape of each AI agent’s issues. Starting from presets like Laziness, Forgetting, or Task Failure, to automatically tuning itself to each agent and discovering unknown unknowns.
With one click of a button, AI engineers start tracking issues or topics across 100% of their production data. They can see frequency over time, how many users are affected, relevant properties and more.
In order to process hundreds of millions of events, we gradually train small, custom models, private to each company, that learn to uniquely understand how their product is used.
As part of the early team, you’ll play a fundamental role in shaping the company - from making strategy and product decisions, to helping scale the team, to shaping the future of AI agents.Our Investors
We’re backed by incredible investors including Lightspeed and leading AI companies including Figma Ventures, Vercel Ventures, founders of Replit (Amjad Masad and Michele Castata), Cognition (Walden Yan), Framer (Koen Bok and Jorn van Dijk), Speak (Andrew Hsu), Notion (Akshay Kothari) and more.
Your Focus
- Ensure customers have a world-class developer experience integrating and using Raindrop
- Maintain, improve and add SDKs
- Help customers debug integration
- Write clear documentation, tutorials, and guides
- Quick iteration without compromising on quality
- Deeply understand the customer
Ideal Candiate
- Knows how to balance short-term and long-term speed
- Strong programming, problem solving, and debugging skills
- Passion for working with developers and building developer communities
- Excellent technical writing skills
- Interest in AI products + tools (ideally experience building these or an avid user)
- Growth mindset
- Cares about building well-designed products
- Willing to do whatever it takes to solve a problem
- Must be in person in San Francisco (or willing to move)