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Planet DDS Logo

AI-First Software Engineer

Planet DDS

Salary not specified
Dec 4, 2025
San Francisco, CA, US
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Planet DDS is looking to transform how dental practices run their businesses by experimenting with AI-first development to rethink how software is built and develop innovative products.

Requirements

  • Hands-on with AI-powered tools (Claude Code, Cursor, Codex, Figma, MCP, v0.app, etc.).
  • Strong understanding of software development principles.
  • Proficiency with C-Sharp, .NET, OpenAPI, Python, PyTorch, Docker, Git, Microservices, Azure DevOps, CI/CD, data handling, and databases like Postgres, MS SQL Server.
  • Proficiency in at least one cloud platform like Azure, AWS or GCP.
  • Proficiency with datasets / databases and understanding of the SDLC cycle.

Responsibilities

  • AI-first development of applications using AI coding tools, AI agents and low-code platforms where they accelerate velocity.
  • Integrate AI-driven and low-code solutions with existing systems and databases, ensuring seamless functionality.
  • Use AI code generation to extend solutions when custom functionality is needed.
  • Work closely with product managers, and other stakeholders to gather requirements and deliver solutions , whereas prototypes help shape product strategy and leadership decisions.
  • Stay updated with the latest advancements in AI and machine learning and continuously improve AI code generation processes and methodologies.
  • Effective communication skills to explain complex programming or AI concepts to technical and non-technical audiences.

Other

  • This role would be onsite in Irvine, CA the first 4-6 weeks.
  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline is required.
  • 3+ years of experience in AI and machine learning, with a focus on code generation and software development.
  • Strong problem-solving skills, creativity, curiosity, and a passion for innovation.
  • Comfortable working in fast-moving, ambiguous environments where experimentation is valued.