Swoop
Swoop
Swoop develops marketing solutions for pharmaceutical and life sciences organizations, with a focus on direct-to-consumer and healthcare provider engagement. Its work combines AI, data, and privacy-conscious omnichannel campaigns to help connect patients, providers, and brands across channels such as social media and television. The company applies this approach to improving marketing effectiveness while supporting more patient-centered healthcare communication.

AI-Forward Engineer — Hybrid, Redwood City

Build AI tools, automation, and intelligent workflows for Swoop’s privacy-compliant healthcare engagement platform. Help teams across engineering, operations, and commercial functions adopt frontier models and agentic systems.

Description

  • Identify operational and technical friction across product, engineering, data, design, operations, sales, and product marketing
  • Convert cross-functional challenges into practical AI-enabled solutions
  • Prototype and implement AI-assisted development tools with Claude Code
  • Develop CI/CD pipelines enhanced by AI capabilities
  • Assess frontier models such as Claude, Gemini, Kimi, and GPT
  • Embed appropriate AI models into team workflows
  • Build and improve AI-assisted testing pipelines with Claude Code and Playwright
  • Create test cases, test data, unit tests, and end-to-end automation from product specifications
  • Refactor and improve large codebases with AST-based tooling
  • Assess and deploy AI design tools including Figma, Pencil, Stitch, Veo, and Nano Banana
  • Connect AI-native intelligence platforms with go-to-market, operations, customer success, and support workflows
  • Research, test, and benchmark emerging AI tools
  • Develop internal chat assistants, dashboards, browser extensions, and Slack integrations
  • Define practices for agentic engineering, model assessment, cost control, security, and responsible AI use
  • Track AI-powered systems for reliability, accuracy, and cost efficiency

Requirements

  • At least two years of experience in engineering or DevOps roles
  • Strong proficiency in TypeScript, Java, and Python
  • Practical experience with Terraform, GitHub flows or Actions, and CI/CD pipelines
  • Working knowledge of AWS
  • Experience developing with AI and frontier models such as Claude, Kimi, or Gemini
  • Experience using agentic coding tools or AI-powered workflows
  • Ability to turn cross-functional challenges into working tools
  • Include links to GitHub repositories in the application
  • Able to work in Swoop’s Redwood City, California office two to three days per week
  • Applications are welcome from Engineer, Senior, and Lead candidates

Benefits

  • Opportunities for professional development
  • Hybrid working arrangement
  • Culture centered on AI and innovation
  • Ongoing learning opportunities

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