Founding AI Software Engineer

We're partnering with a VC-backed AI-native startup building something genuinely ambitious.

They're developing an AI-native execution platform designed to automate complex operational and risk workflows inside regulated environments.

This isn't "AI bolted onto legacy software".

The focus here is on building production-grade AI systems that enterprises can actually trust:

• reliable orchestration
• traceability
• auditability
• security
• deterministic workflows
• enterprise integrations

They already have paying customers, an MVP in market, and strong early traction. For the next 6-12 months, this is very much a company in execution mode - building, refining and shipping for live enterprise users.

You'll join a small, high-calibre team working directly with the founders as one of the earliest engineering hires.

This is not a frontend-heavy product engineering role.

They're looking for someone who can think deeply about systems, infrastructure, architecture and reliability within AI-native environments.

You'll:

• Help evolve and reshape the current platform architecture
• Build and operate production-grade backend and AI systems
• Work across orchestration, integrations, infrastructure and platform reliability
• Design scalable and maintainable systems in high-ambiguity environments
• Contribute to technical direction and long-term platform strategy
• Work closely with founders, customers and technical stakeholders

The current stack includes:

• TypeScript
• React
• Node
• Postgres
• Supabase
• Vercel
• Anthropic APIs
• LangGraph exploration

That said, they expect this hire to challenge and improve the existing architecture where appropriate.

Fully remote. High autonomy. High trust. High standards.

This is a focused execution phase with real customers, real enterprise requirements and meaningful delivery milestones ahead.

The team is small, technical and moving quickly. You'll have genuine ownership and direct influence over how the platform evolves.

This is not the type of role where you disappear into a Jira board for 12 months.

Equally, this is not an "AI hype" environment built around demos and prototypes.

The engineering challenges here are real:

• reliability
• observability
• orchestration
• scalability
• enterprise trust
• production operations
  
  

6-10+ years engineering experience

Strong backend or systems engineering capability

Experience building and operating production systems at scale

Experience working in high-ambiguity or startup environments

Strong architectural and infrastructure thinking

Experience with AI/LLM systems beyond basic API integrations

Ability to communicate technical decisions clearly with both technical and non-technical stakeholders

Experience in enterprise, cloud-native or regulated environments is highly valuable

Strong fit backgrounds could include:

• AI infrastructure
• distributed systems
• platform engineering
• observability/reliability engineering
• enterprise SaaS
• cloud systems
• backend architecture
• AI orchestration systems

Mindset matters massively:

• ownership
• technical curiosity
• pragmatism
• communication
• execution
  
  

• Up to €150,000 base
• Meaningful equity
• Fully remote
• Founding-level ownership
• Opportunity to shape engineering culture and technical direction from an early stage

This is for builders who want to work on hard technical problems with real-world impact.

If you're currently in a larger organisation and feel too far from the product…

If you've worked on AI systems but want more ownership and influence…

If you enjoy solving infrastructure and architecture challenges rather than simply shipping UI tickets…

If you want to help build a category-defining platform from an early stage…

Then this is probably worth a conversation.

To apply for this role, submit your CV via the application form provided. Alternatively, to speak in absolute confidence about this opportunity, please contact Jack Tyrrell via [email protected]

If you have a disability which means you require assistance at any stage of the recruitment process, please contact us directly to discuss. We are committed to providing equality of opportunity to all.

Please note, we are receiving an exceptionally high number of applications at present and will be unable to shortlist candidates who are not meeting the specific requirements for this role. Due to the high volume of applications, we may be unable to provide individual feedback. We thank you in advance for your understanding.