Senior Software Engineer

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).

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

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

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

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.

• Take ownership of infrastructure design, deployment pipelines, and developer experience.
• 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.
• Design and build scalable backend systems that process and structure large volumes of conversational data.
• Play a key role in defining engineering best practices and setting the standard for future hires.
• Collaborate with the founding engineers to integrate emerging AI workflows (Python-based LLM orchestration, embeddings, retrieval, evaluation).
• Contribute to performance, reliability, and observability of core services.

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.

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.

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

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.

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.

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

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.

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

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.

• Strong hands-on experience with TypeScript, Node.js, and ideally some exposure to Python.
• Work with a modern stack: TypeScript, Node.js, gRPC/REST APIs, Postgres, Drizzle ORM, and AWS-based infrastructure.
• Strong backend or full-stack engineering background, ideally with experience in distributed or high-scale systems.
• Experience with relational databases (Postgres preferred) and modern schema management tools.
• Deep understanding of software engineering fundamentals - clean code, testing, performance, and architecture.
• Comfort with infrastructure (AWS, CI/CD pipelines, networking fundamentals).
• 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.
• A pragmatic, builder mindset - you like solving real problems and moving quickly without sacrificing quality.

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

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.
• 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.