ai engineer in payments

Описание:planet
London, UK
3 days ago
Apply on www.apply4u.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Airflow Application Integration Architecture Continuous Integration Information Engineering Distributed Systems Python (Programming Language) Software Engineering Unstructured Data Large Language Models Model Validation Build Management
+3 more
Machine Learning Operations Data Pipelines Automation Anywhere

Job description

Описание:Planet is a technology company transforming payments through integrated payment processing, VAT refunds, dynamic currency conversion, and management services for Retail and Hospitality merchants worldwide.Задачи:Design and build production-grade AI workflows integrating HR, Finance, Operations, and CRM systems;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, including accuracy, usefulness, failure modes, and edge-case handling;Improve model performance through evaluation frameworks, feedback loops, and real-world usage data;Define and track success metrics such as accuracy, resolution rate, and time saved;Diagnose poor outcomes and close the gap between technical operation and business results;Partner with Data Engineering on shared platforms, infrastructure, CI/CD, data pipelines, security, and governance;Contribute to

Requirements

shared standards, schemas, and best practices for AI systemsТребования:Strong software engineering background with Python or similar;Track record of building production systems, not just prototypes;Hands-on experience with AI/ML systems, including LLMs, classifiers, decision models, or similar;Experience integrating APIs and working with distributed systems;Experience designing prompts, retrieval pipelines, or ML inference workflows;Understanding of model evaluation, monitoring, and feedback loops;Comfortable working with structured and unstructured data;Product-oriented approach focused on production outcomes;Comfortable owning ambiguity and making trade-offs;English;Nice to have: workflow orchestration tools such as Temporal, Airflow, or Step Functions;experience building internal tools or agents;familiarity with regulated or enterprise environments;exposure to MLOps or AI evaluation frameworks.Условия:Hybrid work model with three days a week in the office;Equal opportunity employer that values diversity. #J-18808-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.apply4u.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

5:08 min

Validating requests and responses using data transfer objects

Roman Alexis Anastasini · World Congress 2021

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

1:31 min

The new paradigm of AI engineers

Stan Girard Stan Girard · World Congress 2024

Videos

See all

Related articles

See all