Senior AI Engineer

🕒 August 21

🌐 United Kingdom, Netherlands, +4 more countries – Remote

🇬🇧 United Kingdom – Remote 🇳🇱 Netherlands – Remote 🇮🇪 Ireland – Remote 🇷🇴 Romania – Remote 🇵🇱 Poland – Remote 🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RWS Group

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

RWS Group is a leading provider of AI-powered language services and technology, specializing in translation and localization for a variety of industries. With a focus on enhancing global communication, RWS offers solutions that improve translation quality, manage multilingual content, and streamline the localization process. Their services cater to sectors such as aerospace, finance, legal, life sciences, and technology, leveraging advanced AI to ensure clients can effectively connect across languages and cultures.

📋 Description

• Define technical direction for core AI platform components and evaluation systems • Design and architect reliable, scalable, and maintainable platform components • Design reusable abstractions, SDKs, and services for model integration, prompt management, experimentation, and deployment • Define company-wide AI evaluation strategy and methodology • Build production-ready evaluation frameworks and developer tooling • Establish observability standards for AI quality, performance, cost, and regression signals • Build dashboards and reporting that turn AI system signals into actionable decisions • Drive testing discipline, reproducibility, sound experimental design, and statistically defensible model-quality measurement • Lead ambiguous and high-impact technical problems • Mentor engineers through code review, design review, and technical example • Contribute to model and system governance, documentation, versioning, reproducibility, and responsible-AI checks • Codify best practices into tooling and standards adopted by developers across the organization • Track LLM, evaluation research, and AI tooling developments • Prototype and de-risk emerging techniques and tools, moving promising capabilities into production • Champion platform adoption across teams • Partner with research, product, and localization leaders on evaluation methodology and customer needs • Influence roadmap and technical strategy across engineering and product stakeholders • Gather developer requirements and represent them in platform direction • Communicate technical direction, trade-offs, and quality standards to technical and non-technical audiences

🎯 Requirements

• Significant software engineering experience, typically 5+ years, building and operating production systems, tools, libraries, or services used by many engineers • Excellent API design, reliability, and developer experience • Track record with CI/CD and cloud infrastructure • Proficiency in Python and/or another general-purpose language • Strong testing discipline • Hands-on experience building with LLMs or other ML systems, including prompt engineering, fine-tuning, retrieval, or model integration • Understanding of LLM/ML failure modes and tradeoffs • Proven experience designing and leading evaluation for AI/ML systems • Experience defining metrics and methodology, building evaluation pipelines, managing test sets, and analyzing model quality and regressions • Strong command of accuracy, precision, recall, F1, automated versus human evaluation, statistical significance, and methodological limitations • Excellent written and verbal communication • History of influencing technical direction across teams and mentoring engineers • Comfort with ambiguity and ability to scope, prioritize, and sequence high-impact work with limited direction • Preferred: deep experience evaluating NLP, machine translation, or content-generation systems • Preferred: experience with experimentation and observability tooling, data/test-set versioning, and benchmarking workflows • Preferred: practice in AI governance and documentation, including model cards, system cards, reproducibility, and responsible-AI considerations • Preferred: familiarity with modern LLM ecosystems, orchestration frameworks, and vector stores • Preferred: experience supporting multilingual or localization-focused enterprise products

🏖️ Benefits

• Equal employment opportunity and non-discrimination commitment • Inclusive work environment • Opportunities for individual growth and career development • Global, culturally diverse work environment