AI Engineer

Planet Paymet; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Planet is seeking an experienced engineer to lead the design, delivery, and maintenance of production AI workflows across HR, Finance, Operations and CRM. You will build agents, prompts, and retrieval pipelines, ensuring reliable, auditable decisions and continuous improvement through measurement and feedback.

You will own model behavior in production, defining success metrics and addressing edge cases, while collaborating with Data Engineering on infrastructure, CI/CD, and data governance.

Qualifications

• Strong software engineering background with production systems experience.
• Hands-on experience with AI/ML systems (LLMs, classifiers, decision models).
• Experience designing prompts, retrieval pipelines, or ML inference workflows.
• Comfortable with distributed systems and API integrations.
• Knowledge of model evaluation, monitoring, and feedback loops.

Responsibilities

• Design and build production-grade AI workflows that integrate internal systems (HR, Finance, Operations, CRM).
• Implement orchestration logic with triggers, retries, fallbacks, and human-in-the-loop patterns.
• Develop and maintain AI agents, prompts, retrieval pipelines, and decision logic.
• Own model behaviour in production: accuracy, failure modes, and edge cases.
• Iterate on model performance using evaluation frameworks and real-world data.
• Define and track success metrics such as accuracy, resolution rate, and time saved.
• Collaborate with Data Engineering on platforms, data pipelines, security and governance.

Skills

Python

Distributed systems

AI/ML systems

APIs

Prompt design

MLOps

Education

Bachelor's degree in Computer Science or related field

Tools

Temporal

Airflow

Step Functions

Job description

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. With strong private equity investors, Advent International and Eurazeo, we have the financial capital and expertise to grow our capabilities and reach through acquisitions. 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. The impact is direct - reliable, auditable AI that reduces manual effort and raises the quality and speed of everyday decisions across the business.

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-overs.
• Languages: English
• 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

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.

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.

Company Background

Planet provides integrated software, payment and technology solutions for its customers in the Hospitality and Retail sectors and worldwide via a network of global Financial Services Partners. Founded over 35 years ago, we have evolved our services, delivering an innovative digital commerce platform that puts customer experience first. With headquarters in London and around 3,000 expert employees located across six continents we serve customers in over 120 markets.