Senior Backend Software Engineer – Shape a New AI Team at Scale
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At a glance
- Employment type
- Full-time
- Workplace
- Hybrid · 1 day in office
- Salary
- €95k/year (EUR)
- Category
- Back-end development
Technologies & skills
Primary technologies
Cloud & infrastructure
Other technical skills
What you'll be doing
Join a new AI engineering team as a Senior Backend Software Engineer, building scalable AI-powered software. Work with Python, TypeScript, and JavaScript to create intelligent software experiences that reach millions globally. Take ownership of projects from design to production, integrating AI capabilities and enterprise systems.
- Design and build scalable backend and full-stack applications incorporating AI capabilities
- Develop production software using Python, TypeScript or JavaScript, integrating APIs, databases, LLMs and enterprise systems
- Build and improve RAG solutions, AI agents and agentic workflows
- Own features across the full SDLC, including architecture, development, deployment, testing and production
Key requirements
Must-have
- Proven experience as a Senior Software Engineer, Backend Engineer or Full-Stack Engineer
- Strong Python, TypeScript or JavaScript skills with solid backend engineering fundamentals
Role signals
- Technical focus
- Back-end development
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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Full job description
Senior Backend Software Engineer – Shape a New AI Team at Scale
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Build the next generation of AI-powered software at massive scale
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Join a brand-new, high-growth AI engineering team as the senior leader
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Work on AI solutions reaching millions of people globally
We are looking for a Senior Software Engineer to join an exciting new Agentic AI / AI Experiences team building the next generation of intelligent software experiences at global scale.
This is a rare opportunity to join a newly established engineering team at the forefront of enterprise AI. You’ll be a strong backend/full-stack engineer working primarily with Python, TypeScript or JavaScript, building scalable production software and integrating AI capabilities including LLMs, RAG and agentic workflows.
You’ll work on production-grade systems that move beyond traditional chatbots, enabling AI to understand business processes, interact with enterprise systems, retrieve information, make decisions, and take meaningful actions on behalf of users.
The platform and products you’re helping build have the potential to reach millions of people, giving you the opportunity to work on challenging engineering problems where backend architecture, APIs, cloud, AI and real-world user experiences come together.
You’ll have significant ownership from design through production, working closely with product managers, business stakeholders and engineers to turn ambitious AI concepts into reliable, scalable products.
Why Join This Team
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Join a new, rapidly growing AI team building the future of intelligent software
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Build scalable backend and full-stack applications using Python, TypeScript, cloud, APIs and AI
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Work with LLMs, RAG and agentic AI in real production environments
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Own projects end-to-end and help shape the team’s technology and engineering culture
What You’ll Be Doing
-
Design and build scalable backend and full-stack applications incorporating AI capabilities
-
Develop production software using Python, TypeScript or JavaScript, integrating APIs, databases, LLMs and enterprise systems
-
Build and improve RAG solutions, AI agents and agentic workflows
-
Own features across the full SDLC, including architecture, development, deployment, testing and production
What We’re Looking For
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Proven experience as a Senior Software Engineer, Backend Engineer or Full-Stack Engineer
-
Strong Python, TypeScript or JavaScript skills with solid backend engineering fundamentals
Salary & Benefits
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Competitive base salary up to €95,000
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Bonus up to 20%
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Defined contribution pension scheme + more
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Hybrid working model: 1 day a month in the Cork office
If you’re a strong backend/full-stack software engineer looking to build production AI systems and expand your career into LLMs and agentic AI, we’d love to hear from you.
Contact Serena Akbib on +353 1 960 9972 or send your CV to [email protected].
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
You will be assessed on your ability to design and build scalable backend and full-stack AI-powered applications using Python, TypeScript or JavaScript, integrating LLMs and agentic workflows, and owning projects end-to-end in a new, high-impact AI team.
- Backend architecture·High
- AI integration (LLMs, RAG, agents)·High
- Python/TypeScript/JavaScript·High
- Production-grade systems·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review AI Integration Experience
0–8 minList and reflect on your hands-on experience integrating LLMs, RAG, or agentic AI into backend systems.
Refresh Backend Architecture Knowledge
8–15 minRevisit key concepts in scalable backend design, focusing on distributed systems and API integration.
Prepare End-to-End Project Stories
15–23 minIdentify 1-2 examples where you owned features from design to production, noting challenges and outcomes.
Draft Targeted Questions
23–30 minWrite down questions about the team's AI practices, technical challenges, and ownership expectations.
Talking points
, 6 itemsScalable Backend Architecture
You will design and build backend systems that must scale to millions of users in production.
Python, TypeScript, and JavaScript Proficiency
Strong coding skills in these languages are core requirements for building and integrating backend and full-stack solutions.
Integrating LLMs and Agentic AI
The role centers on building AI-powered features, including LLMs, RAG, and agentic workflows.
API and Database Integration
You will connect backend systems to APIs, databases, and enterprise systems as part of your daily work.
End-to-End Software Delivery
You are expected to own features from design through deployment, testing, and production.
Cloud and CI/CD Practices
Building and deploying production systems at scale requires familiarity with cloud and CI/CD tools.
What to research
, 3 itemsAI Integration and Agentic Workflows
Expect deep discussion on integrating LLMs, RAG, and agentic AI into scalable backend systems, as this is central to the team's mission.
End-to-End Feature Ownership
Be ready to demonstrate how you have taken responsibility for features across the full software lifecycle, from design to production support.
Scalable Production System Design
Prepare to discuss your experience architecting backend systems that operate reliably at large scale and handle real-world user loads.
Questions to ask
, 6 itemsWhat are the team's current priorities for AI-powered product development?
Why ask this? Clarifies what you would focus on in your first months.
How does the team approach integrating new AI technologies like LLMs or RAG?
Why ask this? Reveals how cutting-edge the team's AI practices are.
What does end-to-end ownership look like for engineers on this team?
Why ask this? Helps you understand the scope of responsibility and autonomy.
How do engineers collaborate with product managers and business stakeholders?
Why ask this? Shows how cross-functional work is structured.
What are the biggest technical challenges the team is facing right now?
Why ask this? Gives insight into the complexity and scale of current projects.
How is success measured for AI features in production?
Why ask this? Clarifies expectations and performance metrics.
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