AI-Forward Engineer, NimbleRx

Swoop Airlines and Aviation; Redwood City (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Swoop Airlines and Aviation in Redwood City, California is seeking an AI-Forward Engineer to lead the adoption of AI across product, engineering, data, design, sales, and operations. You will prototype with frontier models, then ship integrations that give our teams an unfair advantage.

The ideal candidate blends strong software fundamentals with a curious mindset about AI ecosystems and a drive to provide the best AI tools to every team.

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 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

Responsibilities

• 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
• 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

Skills

TypeScript

Java

Python

Terraform

CI/CD

AWS

Front-end tooling

Tools

Claude Code

Gemini

Kimi

GitHub Actions

Playwright

Job description

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.