About the role
Your name may not start with A(ndrej) or B(oris), but hey, we are not hiring for A/B testing.
As an AI-Forward Engineer, you will be at the frontier of how AI transforms every function in our startup. You will experiment with, evaluate, and implement AI-powered tools and workflows that accelerate teams across product, engineering, data, design, as well as sales, operations, customer success, and product marketing.
The AI landscape evolves weekly — you will be our vanguard: rapidly prototyping with products, then shipping the integrations that give our teams an unfair advantage. A successful candidate combines solid software engineering fundamentals with deep curiosity about the AI ecosystem and a drive to put the best tools in the hands of every team.
Our engineering culture: We operate with shared trust and no egos. We enjoy being “in this together” and collaborating on the challenges of a rapidly scaling business. We live out our company values of curiosity, ownership, simplicity, and GSD (get stuff done).
What you'll do
- Work closely with every function (product, engineering, data, design, operations, sales, and product marketing) to discover pain points and translate them into AI-enabled solutions.
- Experiment with and implement AI-assisted developer tooling, leveraging Claude Code for agentic coding workflows and AI-enhanced CI/CD pipelines that help engineering teams ship faster with higher confidence.
- Leverage frontier models (Claude, Gemini, Kimi, GPT) as core engineering tools, evaluating new model releases for coding, reasoning, and agentic capabilities, and integrating the best-fit models into team workflows as they evolve.
- Build and evolve our AI-augmented testing pipeline: from product spec use cases through test cases, test data, unit tests, and end-to-end Playwright automation, all generated via Claude Code, plus large-scale codebase improvement and refactoring through AST-based tooling (Java/Spoon, TypeScript/OXC, Flutter Dart Analyzer).
- Evaluate and deploy AI-powered design tools, such as Figma, Pencil, Stitch, Veo, and Nano Banana.
- Integrate AI-native intelligence platforms into go-to-market, operations, customer success, and support workflows.
- Stay on the leading edge of the AI tool landscape: continuously scouting, testing, and benchmarking new tools as they emerge weekly.
- Create internal tools and interfaces (chat-based assistants, dashboards, browser extensions, Slack integrations) that make AI capabilities accessible to nontechnical stakeholders.
- Establish best practices for agentic engineering, model evaluation, cost management, security, and responsible AI use across the organization.
- Instrument and monitor AI-powered systems for reliability, accuracy, and cost-effectiveness.
Qualifications
- 2+ years in engineering or DevOps roles — you know how software gets built, tested, and shipped
- Well-versed in multiple programming languages including TypeScript, Java, and Python
- Hands-on experience with Terraform, GitHub flows/actions, and CI/CD pipelines, and an instinct for where AI can accelerate them
- Already building with AI, whether it’s frontier models like Claude, Kimi, or Gemini; agentic coding tools; or something you hacked together last weekend
- Comfort working across teams that don’t speak your language (product, data, design, sales, ops) and translating their pain into working tools
- A tinkerer’s obsession — show us what you’ve built
- Bias for shipping over perfecting — you’d rather demo a rough v1 in an hour than a polished v3 next week
Open to Engineer, Senior, or Lead candidates. What matters is what you could build, not your current title.
Please note:
- Applications need to include links to your GitHub repos -> show us what you’ve built.
- This hybrid role is based in Redwood City, California. Two to three days in the office weekly is required.
