> Markdown version of [/jobs/ext/2706926-ai-forward-engineer](https://www.wearedevelopers.com/jobs/ext/2706926-ai-forward-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI-Forward Engineer - **Company:** Swoop.com, Inc. - **Location:** Redwood City, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Flutter, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Unit Testing, DevOps, Programming Tools, Github, Python (Programming Language), Test Data, TypeScript, Spoon (Software), Model Validation, Playwright, Figma, Terraform, GPT, Programming Languages - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/ai-forward-engineer-nimblerx-7895206 ## About the Role * 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 * Comfortable 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 ## Description * 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, 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 non-technical 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 ## Related Videos - [The Alpha‑Developer of Tomorrow: Building the Future of the Software Development Lifecycle](https://www.wearedevelopers.com/videos/1401-the-alpha-developer-of-tomorrow-building-the-future-of-the-software-development-lifecycle) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Boost Productivity with AI: Figma & Playwright MCP Workflows - Aris Markogiannakis](https://www.wearedevelopers.com/videos/1768-boost-productivity-with-ai-figma-playwright-mcp-workflows-aris-markogiannakis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Building the Next Generation of Software](https://www.wearedevelopers.com/videos/100186-building-the-next-generation-of-software) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)