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Jobgether
Founding Engineer
United Kingdom Remote OK 2-5 yrs exp Internet Marketplace Platforms 567 employeesEUR80k – EUR140k / year
Backend engineeringInfrastructureFrontend developmentAI agent systemsLLM
Requirements
Candidates must have at least 2 years of experience shipping production software and demonstrated expertise in building LLM or AI agent systems. A strong founder mindset with the ability to work across backend, infrastructure, and frontend layers is essential.
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Founding Engineer based in United Kingdom.
This is an opportunity to become the first engineering hire at an early-stage AI infrastructure startup with a working product and live revenue. You will work directly with the founder to shape the architecture, technical direction, and engineering culture from the ground up. The role centers on transforming a proven agentic system into production-grade infrastructure capable of serving up to a million users. You will have broad ownership across backend, infrastructure, frontend, and AI agent systems. With no engineering organization above you, your decisions will directly influence the product and future technical team. As the company grows, the role is expected to evolve toward a CTO-level position.
Accountabilities
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.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This is an opportunity to become the first engineering hire at an early-stage AI infrastructure startup with a working product and live revenue. You will work directly with the founder to shape the architecture, technical direction, and engineering culture from the ground up. The role centers on transforming a proven agentic system into production-grade infrastructure capable of serving up to a million users. You will have broad ownership across backend, infrastructure, frontend, and AI agent systems. With no engineering organization above you, your decisions will directly influence the product and future technical team. As the company grows, the role is expected to evolve toward a CTO-level position.
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.
- 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.
- 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.
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.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Skills
Backend engineeringInfrastructureFrontend developmentAI agent systemsLLMSystem architectureData modelingOrchestrationProduction-grade infrastructureSoftware engineeringTechnical leadershipAgent memoryVerification systemsMulti-agent workflows
About Jobgether
Jobgether is a career navigation platform built for senior professionals competing in the remote job market. Hiring systems were designed for volume and keyword matching, not for 15 or 20 years of nonlinear experience. That structural mismatch is why strong profiles get filtered out before a human ever sees them. Our platform diagnoses where a search is breaking, corrects how experience is positioned, and connects professionals to the companies where their background creates real value. The goal is not more applications. It is the right visibility in the right places. Our mission is to ensure no senior professional remains invisible in the global remote market, not because they lack the skills, but because the system failed to read them correctly.