- Location
- Dublin
- Workplace
- Hybrid
- Type
- Full-time
- Department
- IT
- Experience
- 1+ years
- Source
- Personio
Description
About the Role
XpertOS is Xtremepush's agentic SaaS product, integrating AI agents into our customer engagement platform to work alongside our customers' teams. We're looking for a product-minded Python Developer to join the team and contribute to the continued development and evolution of the product.
Reporting to the XpertOS Team Lead, you will take ownership of developing and delivering customer-facing features end to end, from understanding customer needs and defining solutions through to building, testing and releasing functionality. Working closely with the product team, you'll contribute to technical and product discussions, challenge requirements where appropriate, and help shape priorities and solutions.
You'll be joining a team where AI coding agents are an integral part of the development process. Supported by a shared library of team skills and integrations, you'll use agents throughout the development lifecycle to plan, build, test and review code. You'll also have the opportunity to influence how we work, contributing ideas to improve our tooling, processes and development practices.
This role is ideal for someone who is curious, proactive and comfortable taking ownership. You'll have the opportunity to influence both the direction of the product and the way we develop it, with your ideas and input valued from the outset. As part of the interview process, we'll explore how you work with AI agents and how you approach product challenges, alongside your technical experience.
This is a hybrid role in Dublin (Ireland) or London (UK). #LI-HybridKey Responsibilities
Product Thinking
Work alongside the product team to understand customer problems and help shape the scope and priorities of new features.
Bring a clear, well-reasoned opinion to product discussions, drawing on what you learn while building.
Help break large ideas into small, shippable increments and use usage data to judge what worked.
Develop with a product mindset: keep the customer outcome in view, not just the technical task.
Agentic Development
Build XpertOS features in Python using AI coding agents as a core part of your daily workflow.
Write clear specs, plans and prompts that let agents do reliable work, and review their output critically.
Help develop the team's shared agent skills, workflows and guardrails.
LLM and Agent Engineering
Build and improve the LLM-powered agents at the heart of XpertOS, including prompts, tools, retrieval and evaluation.
Keep up with the fast-moving LLM space and bring useful new models, techniques and tools to the team.
General Development
Ensure thorough planning, testing and documentation of everything you build and maintain.
Follow best practices in code development and deployment, keeping the codebase easy to work on.
Learn the AWS services that support XpertOS and use them well.
Your Experience and Qualifications
1–3 years of professional experience building Python applications.
Proficiency and confidence with agentic development: you already use AI coding agents (such as Claude Code, Cursor or Copilot agents) as a core part of how you build software, and can explain how you get reliable results from them.
A product mindset: you care about why something is being built and who it is for, not just how.
A strong interest in agentic SaaS, LLMs and customer-facing applications.
Sound fundamentals: testing, version control, code review and writing code others can maintain.
Excellent analytical and problem-solving skills.
Clear communication, written and spoken, with technical and non-technical people.
The ability to work independently and as part of a team.
Hands-on experience building with LLM APIs, agent frameworks, retrieval (RAG) or LLM evaluation.
Side projects, open-source work or products you have shipped yourself, especially anything agentic.
Experience with AWS (for example Lambda, Bedrock or Cognito).
Exposure to product discovery: user interviews, writing specs, or prioritising a backlog.
Familiarity with data tooling such as ClickHouse or SQL analytics.
Location
This is a hybrid role in Dublin (Ireland) or London (UK). #LI-Hybrid