AI-Forward Engineer, NimbleRx

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

• Knowledge of AWS

• 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:

1. Applications need to include links to your GitHub repos -> show us what you’ve built.
2. This hybrid role is based in Redwood City, California. Two to three days in the office weekly is required.