Senior Software Engineer – Agentic AI | Join Brand New AI Team!
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At a glance
- Employment type
- Full-time
- Workplace
- Remote
- Salary
- €95k/year (EUR)
- Category
- Full-stack
Technologies & skills
Primary technologies
Cloud & infrastructure
What you'll be doing
Join a brand-new AI engineering team as a Senior Software Engineer, building the next generation of AI agents at scale. Work on production-grade AI solutions that reach millions globally, with significant ownership from design to production. Collaborate with product managers and engineers to create reliable, scalable products in a rapidly growing team.
- Build and deploy production-grade AI agents and agentic workflows
- Develop scalable applications using Python, TypeScript or JavaScript
- Integrate agents with APIs, databases and enterprise platforms
- Design for reliability, accuracy, latency, testing and observability
- Contribute to architecture, technical direction and the full software lifecycle
- Work with cloud infrastructure, Kubernetes and CI/CD
Key requirements
Must-have
- Proven commercial experience building and deploying AI agents / Agentic AI systems in production
- Strong understanding of agentic workflows, orchestration, tool use and multi-step AI tasks
Experience: Agentic AI experience is essential.
Role signals
- Technical focus
- Full-stack
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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Full job description
Senior Software Engineer – Agentic AI | Join Brand New AI Team!
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Build the next generation of AI agents at massive scale
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Join a brand-new, high-growth AI engineering team shaping agentic experiences
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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 work on production-grade AI agents and agentic workflows that move beyond traditional chatbots, enabling AI to understand business processes, interact with enterprise systems, 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, allowing you to work on challenging engineering problems where AI, software architecture 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. The team is growing rapidly, making this an excellent time to join and play a key role in shaping both the technology and engineering culture.
What You’ll Do
-
Build and deploy production-grade AI agents and agentic workflows
-
Develop scalable applications using Python, TypeScript or JavaScript
-
Integrate agents with APIs, databases and enterprise platforms
-
Design for reliability, accuracy, latency, testing and observability
-
Contribute to architecture, technical direction and the full software lifecycle
-
Work with cloud infrastructure, Kubernetes and CI/CD
What We’re Looking For
Agentic AI experience is essential.
-
Proven commercial experience building and deploying AI agents / Agentic AI systems in production
-
Strong understanding of agentic workflows, orchestration, tool use and multi-step AI tasks
Salary & Benefits
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Up to €95,000 base salary
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Up to 20% performance bonus
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Defined contribution pension + additional benefits
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Remote working – One day a month onsite in Cork!
If you’re an experienced Agentic AI engineer looking to help build a new AI team and work on products at significant scale, we’d love to hear from you.
Contact Serena Akbib on +353 1 960 9972 or send your CV to .
Interview prep pack
Grounded in this listing. Use it to prepare examples before you apply.
Your interview focus
Based on this listing, the role of Senior Software Engineer focuses on building and deploying AI agents at scale within a new engineering team.
- Agentic AI experience·High
- Scalable application development·High
- Integration with enterprise systems·High
- Cloud infrastructure and CI/CD·High
Only have 30 minutes?
Follow a focused preparation plan based on this job.
Start 30-minute prep
Your 30-minute plan
Review AI Agent Projects
0–10 minSpend time reflecting on your past projects involving AI agents.
Study Kubernetes and CI/CD
10–20 minBrush up on your knowledge of Kubernetes and CI/CD practices.
Prepare Questions for the Interviewer
20–25 minDraft thoughtful questions to ask the interviewer about the team and projects.
Talking points
, 4 itemsAgentic AI Systems
Prepare examples of your experience with AI agents, particularly in production environments, to demonstrate your expertise.
Scalable Application Development
Be ready to discuss your approach to developing applications that can handle large-scale user interactions and data.
Integration Techniques
Think of instances where you successfully integrated AI agents with APIs and databases, showcasing your technical skills.
Cloud Infrastructure
Consider your experience with Kubernetes and CI/CD processes, as these are crucial for the role's responsibilities.
What to research
, 3 itemsResearch Agentic AI
Understand the latest trends and technologies in Agentic AI to discuss during the interview.
Familiarize with Kubernetes
Review your knowledge of Kubernetes and how it applies to deploying scalable applications.
Explore CI/CD Best Practices
Look into best practices for CI/CD in AI development to articulate your experience effectively.
Questions to ask
, 4 itemsWhat are the biggest challenges the team is currently facing with AI agents?
Why ask this? This shows your interest in the team's current projects and challenges.
How does the team measure the success of AI agents in production?
Why ask this? Understanding success metrics can help you align your work with team goals.
What technologies does the team prioritize for building AI solutions?
Why ask this? This helps you gauge the technical environment and tools you will be working with.
Can you describe the team culture and collaboration style?
Why ask this? Understanding the culture will help you assess if it's a good fit for you.
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