AI-Native Product Engineer — Remote, End-to-End Impact

Lever, Inc.; Portugal; Remote; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Fully remote work

Vacation 28 days

Wellness days

Referral bonuses

Professional development

Language learning

Health support

Workplace setup costs reimbursement

Recognition program

International environment

AI-first culture

Job summary

Lever, Inc. in Portugal seeks a Product Engineer (AI-Native) to own features end-to-end, from identifying problems to shipping reliable AI-driven solutions in production. You will work with AI agents as your primary development partners within a remote, international team.

The role combines engineering expertise, product ownership, and architecture with a strong emphasis on reliability and production readiness in an AI-first software environment.

Qualifications

• Senior-level engineering experience owning complex production systems end-to-end.
• Experience as backend engineer or software architect.
• Hands-on experience using AI coding agents as a primary development workflow.

Responsibilities

• Own product features end-to-end, from problem to production.
• Collaborate with external partners and service providers on integration requirements.
• Define specifications with AI agents and review their output for quality.
• Test features with emphasis on reliability in financial transactions.
• Maintain architecture, deployments, and production readiness.

Skills

Senior-level engineering experience

Backend engineer

AI coding agents

Agentic software development

Entrepreneurial mindset

Ownership and accountability

English communication

Tools

Claude Code

Codex

AI development tools

Job description

Lever, Inc. in Portugal seeks a Product Engineer (AI-Native) to own features end-to-end, from identifying problems to shipping reliable AI-driven solutions in production. You will work with AI agents as your primary development partners within a remote, international team.

The role combines engineering expertise, product ownership, and architecture with a strong emphasis on reliability and production readiness in an AI-first software environment.