Senior AI Engineer

Track developments in LLMs, evaluation research, and AI tooling, and translate them into pragmatic, well-scoped improvements to the platform.

Prototype and de-risk emerging techniques and tools, shepherding the promising ones from experiment to supported capability.

Champion the adoption of new platform capabilities across teams, lowering the barrier for developers to use them well.

Keep the platform current and competitive without chasing novelty for its own sake.

Partner with research, product, and localization leaders to align evaluation methodology with real-world quality and customer needs.

Influence roadmap and technical strategy beyond your immediate team, building consensus across engineering and product stakeholders.

Gather requirements from developers across the company and represent their needs in platform direction, acting as a trusted technical partner.

Communicate technical direction, trade-offs, and quality standards clearly to both technical and non-technical audiences.

Skills & Experience

Significant software engineering experience (typically 5+ years) building and operating production systems, tools, libraries, or services that many other engineers depend on, with excellent API design, reliability, and developer experience. Also, a track record with CI/CD and cloud infrastructure.

Proficiency in Python and/or another general-purpose language, with strong testing discipline

Hands-on experience building with LLMs or other ML systems (prompt engineering, fine-tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs.

Proven experience designing and leading evaluation for AI/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions.

Strong command of evaluation concepts — various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each approach.

Excellent written and verbal communication, and a history of influencing technical direction across teams and mentoring other engineers.

Comfort with ambiguity and the judgment to scope, prioritize, and sequence high-impact work with limited direction.

Deep experience evaluating NLP, machine translation, or content-generation systems, including metrics such as COMET, chrF++, BLEU, MetricX, and MQM-style human evaluation.

Experience with experimentation and observability tooling, data/test-set versioning, and rigorous benchmarking workflows.

Established practice in AI governance and documentation - model cards, system cards, reproducibility, and responsible-AI considerations - at an organizational level.

Broad familiarity with the modern LLM ecosystem (open and proprietary models, orchestration frameworks, vector stores) and well-formed views on the tradeoffs.

Experience supporting multilingual or localization-focused products at enterprise scale.

For all applicants in Poland and accordance with applicable pay transparency legislation, candidates will be informed of the salary range for this position prior to interview. Pay is determined without reference to previous salary history and is aligned to objective job‑related criteria.

Life at RWS - If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood , then you’ll love life at RWS.

Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career.

In return, we expect all our people to live by the values that unite us: to partner , putting clients fist and winning together , to pioneer , innovating fearlessly and leading with vision and courage, to progress , aiming high and growing through actions and to deliver , owning the outcome and building trust with our colleagues and clients.

RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

Get the 3Ps right – Partner, Pioneer, Progress – and we´ll Deliver together as RWS.

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