Accountabilities
- Redesign, scale, and productionize an existing agentic system to support substantial user growth and real-world workloads.
- Architect and operate the agent runtime, including orchestration, memory, verification, reliability, and other systems required for trustworthy AI workflows.
- Own technical initiatives end to end across backend engineering, infrastructure, frontend development, and agent systems.
- Establish the technical stack, engineering standards, development practices, and team norms as the first engineering hire.
- Make high-impact architectural and technical decisions with significant autonomy and direct collaboration with the founder.
- Deliver improvements and new capabilities on a frequent cadence, with software continuously shipped to real business customers.
- Help shape the future engineering organization, including technical hiring and team development as the company scales.
Requirements
- At least 2 years of experience shipping production software, or an equivalent track record of building and launching real systems as a founder or solo builder; strong early-career engineers are encouraged to apply.
- Demonstrated experience building and operating LLM or AI agent systems in production, with real users depending on them rather than prototypes or side projects.
- Strong full-stack capabilities, with the ability to work across backend, infrastructure, frontend, and AI/agent layers without relying on specialized teams.
- Experience transforming working prototypes into reliable infrastructure capable of handling real production load, including architecture, data modeling, runtime design, and orchestration.
- A track record of owning technical decisions independently as a founder, early engineering hire, or solo technical lead.
- Strong founder mindset and a bias toward ownership, execution, experimentation, and building from first principles; previous founder or co-founder experience is a strong plus.
- Experience with agent orchestration, agent memory, evaluations, verification systems, or multi-agent workflows is highly valued.
- Familiarity with recruiting, agency, or service-delivery businesses is an advantage.
- Strong computer science fundamentals are welcome, whether developed through formal university education or a strong engineering environment, but are not mandatory.
- Based in Europe and genuinely open to relocating to San Francisco within the first year.
Benefits
- Annual salary of €80,000–€140,000.
- Equity participation reflecting the founding nature and long-term scope of the role.
- Fully remote work within Europe initially.
- Relocation support for the move to San Francisco as the company establishes its U.S. presence.
- U.S. visa sponsorship available from day one.
- Direct collaboration with the founder and significant autonomy over technical direction.
- Opportunity to grow into a CTO-level leadership position as the engineering organization develops.
- Broad ownership across product, infrastructure, AI systems, and engineering culture.
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