At a Glance
- Tasks: Design and build AI workflows that enhance internal systems like HR and Finance.
- Company: Join Planet, a leading tech company revolutionising payments with a focus on customer experience.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for career growth.
- Other info: Diverse and inclusive workplace with a focus on innovation and collaboration.
- Why this job: Make a real impact by developing reliable AI solutions that improve business decisions.
- Qualifications: Strong software engineering skills and hands-on experience with AI/ML systems required.
The predicted salary is between 60000 - 80000 £ per year.
About Us
Planet is a leading technology company transforming payments by putting customer experience first. We offer integrated solutions that include payment processing, VAT refunds, dynamic currency conversion, and management services for merchants in the Retail and Hospitality sectors worldwide. In recent years, we have experienced significant growth, expanding our services and global presence. Our mission is to create a world of connected commerce where payments are simple, secure, and seamless, enabling our partners to deliver exceptional experiences to their customers.
Role Overview:
This role owns the design, delivery, and ongoing behaviour of production AI workflows that automate and augment work across Planet’s internal systems — HR, Finance, Operations, and CRM. You will be accountable not only for shipping the technology, but for the quality of the decisions it makes: building agents, prompts, and retrieval pipelines that business users can trust, and improving them over time through measurement and real-world feedback.
What you will do:
- Design and build production-grade AI workflows that integrate across internal systems (HR, Finance, Operations, CRM).
- Implement the orchestration logic — triggers, retries, fallbacks, and human-in-the-loop patterns — so workflows run reliably, observably, and auditably.
- Develop and maintain the AI agents, prompts, retrieval pipelines, and decision logic that power those workflows.
- Own model behaviour in production: accuracy and usefulness, failure modes, and edge-case and ambiguity handling.
- Iterate on model performance using evaluation frameworks, feedback loops, and real-world usage data.
- Take accountability for decision quality and outcomes — not just technical execution — defining and tracking success metrics such as accuracy, resolution rate, and time saved.
- Diagnose cases where systems are technically “working” but producing poor outcomes, and close the gap.
- Partner with Data Engineering on shared platforms (infrastructure, CI/CD, data pipelines, security and governance) and contribute to shared standards, schemas, and best practices for AI systems.
Who you are:
- Strong software engineering background (Python or similar), with a track record of building production systems — not just prototypes.
- Hands-on experience with AI / ML systems (LLMs, classifiers, decision models, or similar).
- Experience integrating APIs and working with distributed systems.
- Experience designing prompts, retrieval pipelines, or ML inference workflows.
- Solid understanding of model evaluation, monitoring, and feedback loops; comfortable working with both structured and unstructured data.
- Product-oriented — cares about outcomes, not just shipping code; pragmatic about AI and focused on what works in production.
- Comfortable owning ambiguity and making trade-offs.
- A plus, but not required: workflow orchestration tools (Temporal, Airflow, Step Functions); experience building internal tools or agents; familiarity with regulated or enterprise environments; exposure to MLOps or AI evaluation frameworks.
Why Planet
Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. We would love to hear from you – Apply now. At Planet, we embrace a hybrid work model, with three days a week in the office. Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.
AI Engineer employer: Planet Paymet
At Planet, we pride ourselves on being a forward-thinking technology company that prioritises employee growth and innovation. Our hybrid work model fosters a collaborative environment across our vibrant offices in Porto, Warsaw, London, and Madrid, while our commitment to diversity ensures that every voice is heard. Join us to be part of a dynamic team where your contributions directly impact the future of connected commerce, all while enjoying competitive benefits and opportunities for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Planet Paymet or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Planet Paymet.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Planet Paymet.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Planet Paymet that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Planet Paymet.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Planet Paymet and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Planet Paymet
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Planet Paymet uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
