Staff / Principal Engineer - Learn & Build in AI

Learn from experts: Work closely with founders who've built and sold tech companies before - and who'll help you upskill in AI and ML as part of your role.

Collaborate with the founding engineers to integrate emerging AI workflows (Python-based LLM orchestration, embeddings, retrieval, evaluation).

Design and build scalable backend systems that process and structure large volumes of conversational data.

Contribute to performance, reliability, and observability of core services.

Play a key role in defining engineering best practices and setting the standard for future hires.

Take ownership of infrastructure design, deployment pipelines, and developer experience.

Roughly 80% of the work focuses on building, scaling, and optimising production-grade systems - with the remaining 20% dedicated to learning and applying AI and ML concepts alongside the founding team.

• Contribute to performance, reliability, and observability of core services.
• Play a key role in defining engineering best practices and setting the standard for future hires.
• Learn from experts: Work closely with founders who've built and sold tech companies before - and who'll help you upskill in AI and ML as part of your role.
• Take ownership of infrastructure design, deployment pipelines, and developer experience.
• Collaborate with the founding engineers to integrate emerging AI workflows (Python-based LLM orchestration, embeddings, retrieval, evaluation).
• Design and build scalable backend systems that process and structure large volumes of conversational data.

Strong backend or full-stack engineering background, ideally with experience in distributed or high-scale systems.

Comfort with infrastructure (AWS, CI/CD pipelines, networking fundamentals).

Work with a modern stack: TypeScript, Node.js, gRPC/REST APIs, Postgres, Drizzle ORM, and AWS-based infrastructure.

Strong hands-on experience with TypeScript, Node.js, and ideally some exposure to Python.

This is a founding-stage environment - fast-moving, highly collaborative, and ideal for someone who enjoys being hands-on while influencing technical direction.

If you're an experienced engineer who thrives on ownership, loves solving complex technical challenges, and wants to work at the cutting edge of AI - this is a rare chance to build something meaningful while expanding your skill set into one of the most transformative areas in technology.

You'll work directly with the founding team & CTO who's happy to teach and mentor on the AI side - but what he really needs is someone who's confident designing clean architectures, spotting issues before they happen, and building systems that scale.

Experience with relational databases (Postgres preferred) and modern schema management tools.

A pragmatic, builder mindset - you like solving real problems and moving quickly without sacrificing quality.

This role sits at the intersection of deep engineering and emerging AI - ideal for someone who loves solving complex system problems but wants to work in a space where AI is shaping what comes next.

Curiosity about AI and ML - you don't need to be an expert, but you want to learn how these systems are designed and deployed in practice.

Deep understanding of software engineering fundamentals - clean code, testing, performance, and architecture.

• Curiosity about AI and ML - you don't need to be an expert, but you want to learn how these systems are designed and deployed in practice.
• Strong hands-on experience with TypeScript, Node.js, and ideally some exposure to Python.
• Strong backend or full-stack engineering background, ideally with experience in distributed or high-scale systems.
• A pragmatic, builder mindset - you like solving real problems and moving quickly without sacrificing quality.
• Comfort with infrastructure (AWS, CI/CD pipelines, networking fundamentals).
• Work with a modern stack: TypeScript, Node.js, gRPC/REST APIs, Postgres, Drizzle ORM, and AWS-based infrastructure.
• Experience with relational databases (Postgres preferred) and modern schema management tools.
• Deep understanding of software engineering fundamentals - clean code, testing, performance, and architecture.

Location: Dublin City Centre (on-site, 5 days per week) Compensation: Up to €130,000 + equity

Career-defining environment: Perfect for an experienced engineer who's curious about AI and wants to move into one of the most exciting problem spaces in tech.

Ownership & impact: Founding level equity, and complete visibility of your work in production.

• Career-defining environment: Perfect for an experienced engineer who's curious about AI and wants to move into one of the most exciting problem spaces in tech.
• Ownership & impact: Founding level equity, and complete visibility of your work in production.