AI Engineer
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Role details
Tech stack
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Job description
- 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.
Requirements
- 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.
- 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.
About the company
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., 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.
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