Jobgether
Product Engineer (AI-Native)
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Product Engineer (AI-Native)
Own product features end-to-end, from identifying a problem to shipping reliable solutions into production. You’ll work at the forefront of AI-native software development, using AI agents as your primary development partners rather than writing code manually. The role combines senior engineering expertise, product ownership, architecture, integrations, and rigorous technical judgment. You’ll independently work with external providers, define integration requirements, and turn ambiguous problems into production-ready features. A key part of the role is critically reviewing AI-generated implementations and ensuring every delivered solution meets high standards for reliability and quality. You’ll work as an individual contributor within a remote, international team and help continuously evolve an AI-first engineering process. This is an opportunity for an entrepreneurial engineer to shape how modern product development is executed with increasingly capable AI agents.
Accountabilities
- Own product features end-to-end, taking initiatives from a clearly defined problem statement through development, testing, deployment, and production.
- Independently identify what needs to be built and drive initiatives forward without relying on detailed specifications or step-by-step instructions.
- Engage directly with external partners and service providers, obtaining sandbox access, reviewing documentation, and agreeing on technical integration requirements.
- Collaborate with AI agents to create product and technical specifications, while maintaining full ownership and accountability for the quality and accuracy of every specification.
- Delegate development tasks to AI agents and critically review their output within a large and complex production codebase.
- Evaluate AI-generated implementations carefully, identify errors or weaknesses, and select or refine the most appropriate technical solution.
- Test and validate delivered features thoroughly, with particular attention to the reliability and correctness of systems handling financial transactions.
- Take responsibility for architecture, integrations, deployment, reliability, and production readiness across owned features.
- Contribute as an equal member of the engineering team, sharing insights and helping continuously improve the organization’s AI-first development processes.
- Stay engaged with emerging agentic development practices and help identify better ways to use AI throughout the product development lifecycle.
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Requirements
- Senior-level engineering experience with a proven track record of owning complex production systems end-to-end, including architecture, reliability, deployment, and integrations.
- Background as a backend engineer, software architect, or similarly experienced technical individual contributor.
- Extensive hands-on experience using AI coding agents such as Claude Code, Codex, or comparable tools as a primary part of your daily development workflow.
- Strong interest in the evolution of agentic software development, with a habit of continuously learning about new tools, techniques, and workflows.
- Exceptional ownership and an entrepreneurial mindset, with the ability to independently determine what needs to be done and drive work through to measurable results.
- Strong critical-thinking skills and the ability to quickly inspect, challenge, debug, and improve AI-generated code and technical solutions.
- High standards for engineering quality, reliability, testing, and production readiness.
- Experience working with complex integrations and external service providers.
- Comfortable operating with ambiguity and taking responsibility for technical and product decisions without detailed predefined specifications.
- Strong product mindset, with an ability to connect technical decisions to user and business outcomes.
- Comfortable working as a hands-on individual contributor; this position does not involve people management.
- Strong English communication skills and the ability to collaborate effectively within a distributed international team.
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Benefits
- Fully remote work: Full-time remote opportunity with flexibility to work from your preferred location.
- Competitive compensation: Initial pay level or salary range will be shared during the recruitment process before employment begins.
- Vacation: 28 calendar days of paid vacation per year.
- Wellness days: 7 additional paid wellness days per year that can be used for personal matters, recovery, or household needs.
- Referral bonuses: Bonuses of up to $5,000 for successfully referring candidates who join the organization.
- Professional development: 50% reimbursement for professional training, international conferences, and professional meetings.
- Language learning: Corporate discounts for English lessons.
- Health support: Up to $1,000 gross per year toward health insurance or eligible medical expenses for employees who are not covered by corporate medical insurance.
- Workplace support: Equipped workplaces and necessary equipment are provided through offices or co-working locations, with eligible employees elsewhere receiving reimbursement of workplace setup costs of up to $1,000 gross once every three years.
- Recognition program: Internal gamified gratitude system where colleagues can award bonuses that can be exchanged for merchandise, team-building activities, massage certificates, and other rewards.
- International environment: Collaborate with a globally distributed team of technology professionals working remotely across different regions.
- AI-first culture: Work in an environment actively experimenting with and evolving modern AI-native approaches to software development.
How Jobgether works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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