Product Engineer (AI-Native Builder)

1 month ago

Budapest, HungaryStaff+Sponsorship has conditions

Responsibilities

Own defined customer and business problems end to end, from shaping the approach through designing, building, and shipping working software.
Direct multiple AI agents in parallel, compose them into workflows, select appropriate models or tools, and review their output.
Build rapidly by integrating proven internal and external platforms, components, services, and models while innovating where differentiation matters.
Evaluate AI-generated work through testing, reviews, and evals to determine whether it is reliable enough to ship.
Establish reusable AI-native engineering patterns, prompts, evals, guardrails, and internal tooling.
Maintain high standards for product quality, security, reliability, and compliance in a regulated environment.
Engage directly with customers and users and measure success through customer and business outcomes.
Mentor engineers, share effective practices, and increase the productivity of teams across the organization.

Track record of driving complex products end to end and shipping reliable, production-grade software with visible impact.
Strong full-stack engineering fundamentals and experience making sound architectural decisions.
Integrator’s mindset with the ability to compose proven building blocks and create solutions that compound across teams.
Fluency with modern AI tools and agents, including parallel agent execution, context management, intervention, workflow composition, and model or tool selection.
Ability to evaluate AI output with engineering rigor and identify when it is reliable enough for production.
Strong product intuition and comfort speaking directly with customers and users.
Bias toward shipping, comfort with ambiguity, and ability to drive outcomes independently.
Deep commitment to quality, security, and reliability.
Clear communication skills, including explaining both what was built and why it matters.
Experience defining AI-native engineering practices, evals, or internal tooling adopted by other teams.
Experience designing or orchestrating successful multi-agent workflows.
Relevant examples of products or side projects built and shipped.
Experience mentoring engineers and multiplying the output of teams.

Flexible work environment with comprehensive health benefits, generous time off, wellness programs, global days of service, and meeting-free days.
Hybrid work model; employees within commuting distance of a Diligent office are expected to work onsite at least 50% of the time.
Office hubs are available in Washington, D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, Sydney, and New York City.
Employee Resource Groups and resources supporting diversity, education, dialogue, and understanding.
Visa sponsorship may be available for select positions based on business needs and role requirements.

Sponsorship has conditions

Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities
From this job posting

Diligent Corporation’s past filings provide context. They do not guarantee sponsorship for a current opening.

Verified yearly history is not available for this company.

A job-field breakdown is not available for this company.

1,001-5,000 employees