Staff AI-Driven Product Engineer

Candid

Northern (KY)

Hybrid

USD 150,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Retirement contribution
Paid leave time
Disability insurance
Pre-tax transit benefits
PSLF program eligible

Job summary

Candid is seeking a Staff Product Engineer to act as the engineering foundation for a new AI-native product team. You will own end-to-end delivery, partner with product and design, and drive architectural decisions while advocating for best practices across the organization.

You will be a high-agency, high-visibility individual contributor focusing on leveraging modern AI tooling to create leverage for the wider engineering organization, with in-person summits twice yearly.

Qualifications

  • 7-10 years of relevant experience.
  • Demonstrated fluency with AI-assisted development tools and hands-on experience building AI-powered product features in production.

Responsibilities

  • Own engineering end-to-end for the team—from product surface through backend, infrastructure, deployment, and operations.
  • Use AI-assisted development tools to multiply output and enable a one-engineer team.
  • Build AI capabilities into the product with value, including LLM integration and retrieval patterns, with guardrails.
  • Partner with product and design as an equal in discovery and delivery, focusing on outcomes over output.
  • Raise engineering quality with reusable patterns, demos, and knowledge sharing.
  • Set a standard for code quality, tests, and documentation.

Skills

AI-assisted development
End-to-end ownership
Architectural judgment
Product sense

Tools

LLMs

Job description

Candid is seeking a Staff Product Engineer to act as the engineering foundation for a new AI-native product team. You will own end-to-end delivery, partner with product and design, and drive architectural decisions while advocating for best practices across the organization.

You will be a high-agency, high-visibility individual contributor focusing on leveraging modern AI tooling to create leverage for the wider engineering organization, with in-person summits twice yearly.

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