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AI-Assisted Software Engineer

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Onsite

AI-Assisted Software Engineer

Recruits Lab

AI-Assisted Software Engineer

Skills

Google Cloud PlatformTypescriptPythonGolangJavaAIAWSGitHubJavascriptAzure

8 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

15 October 2026

What they need


AI-Assisted Software Engineer | Confidential Technology Opportunity

Recruits Lab is recruiting experienced Software Engineers for an innovative technology organization advancing AI-assisted software development.

We're seeking strong hands-on engineers who use modern AI coding tools to design, build, test, and deploy reliable, production-quality applications.

Responsibilities

  • Design, develop, and maintain scalable software applications.
  • Use AI-assisted coding tools to accelerate development.
  • Build APIs, backend services, and integrations.
  • Review, test, and optimize AI-generated code.
  • Implement automated testing, CI/CD, and engineering best practices.
  • Collaborate with cross-functional engineering teams.

Required Qualifications

  • 3+ years of professional software engineering experience.
  • Strong programming experience in Python, Java, Go, JavaScript, or TypeScript.
  • Proven experience building production applications.
  • Familiarity with Cursor, Claude Code, GitHub Copilot, or similar AI coding tools.
  • Experience with APIs, databases, automated testing, and Git.
  • Strong software engineering fundamentals and problem-solving skills.

Preferred Qualifications

  • Experience with AI-assisted development workflows.
  • Familiarity with LLMs, agentic AI, or automation.
  • Experience with AWS, GCP, or Azure.
  • Background in SaaS, fintech, or high-growth technology.

Why Apply?

Opportunity to contribute to cutting-edge software engineering initiatives and help shape the future of AI-powered development.

Employment: Full-Time

Location: To be confirmed

Compensation: Competitive, based on experience

Apply through Recruits Lab. Client information will be shared with qualified candidates during the screening process.

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