Sr. Full Stack Java Developer - AI Assisted Development

Dewpoint•Farmington Hills, MI
•Onsite

About The Position

We are seeking a Sr. Full Stack Developer focused on AI-assisted development. The ideal candidate is a strong problem solver with excellent analytical reasoning and critical-thinking skills, a forward-thinking, solution-oriented mindset, and the ability to communicate ideas clearly. They will use AI-assisted development tools to improve efficiency, code quality, and delivery timelines, while applying a strong technical foundation to generate, validate, and deliver production-ready code. The role requires at least 8 years of experience. The candidate must be local to Michigan for on-site interviews and on-site work requirements. W2 only; direct or one-layer visa arrangements are accepted. C2C and third-party submissions are not accepted.

Requirements

  • At least 8 years of experience.
  • Hands-on experience using AI coding assistants (e.g., GitHub Copilot) for code generation, debugging, and optimization.
  • Ability to effectively write, refine, and iterate prompts to guide AI tools for development tasks.
  • Experience validating AI-generated code for accuracy, performance, and security.
  • Core Java.
  • Java EE.
  • RESTful microservices.
  • Jersey.
  • SQL and PL/SQL.
  • Oracle Database.
  • Angular, TypeScript, and Node.js.
  • HTML and CSS.
  • Deep understanding of the JVM and performance profiling.
  • Must be local to Michigan for on-site interviews and on-site work requirements.
  • W2 only (direct or one-layer visa); no C2C or third-party submissions.

Nice To Haves

  • Advanced usage of GitHub Copilot or other AI-based development tools and prompt engineering expertise.
  • CI/CD processes.
  • DevOps methodologies.
  • Unix or shell scripting.
  • Docker.
  • Memcache or Redis.
  • SAML.

Responsibilities

  • Use AI coding assistants such as GitHub Copilot for code generation, debugging, and optimization.
  • Write, refine, and iterate prompts to guide AI tools on development tasks.
  • Validate AI-generated code for accuracy, performance, and security.
  • Generate, validate, and deliver production-ready code.
  • Use a strong technical foundation to improve development efficiency, code quality, and delivery timelines.
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