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RWS

AI-powered language services and localization

Senior Fullstack Engineer

AI Application Engineering +1Posted on Nov 9
Full-timeBrno, CzechiaNo salary listed

About the Job

Requirements

  • A fullstack background with experience building and shipping both backend services and the web applications built on them.
  • Solid production backend experience, including APIs, asynchronous processing, persistence and failure handling.
  • Hands-on experience with a modern frontend framework, ideally React, and care for building clear, practical interfaces.
  • Hands-on experience building with large language models, such as tool use, structured outputs and prompt design; production experience is a plus, while a serious side project or internal tool also counts.
  • Strong coding skills and comfort working across languages.
  • Experience with cloud systems and continuous integration and continuous delivery.
  • Awareness of agent security risks such as prompt injection and unsafe tool execution.
  • Ability to clarify vague problems, propose solutions and carry them through.
  • Ability to communicate clearly in English with engineers and non-technical colleagues.

Responsibilities

  • Build agents that use W2 tools and data to analyse situations, recommend actions and run workflows such as content analysis, routing and progress tracking.
  • Build the backend services, APIs and W2 integrations that agents depend on.
  • Build web applications for configuring agents, reviewing and approving recommendations, and inspecting what an agent did and why; adapt open-source tools when they provide a better starting point.
  • Implement retrieval and context handling so agents receive the right data at the right time.
  • Make agents dependable through retries, recovery, idempotent actions, permissions and audit trails.
  • Write evaluations and tests to determine whether agents improve operations, compare models and keep costs down.
  • Deploy, monitor and improve the systems built; the role has no on-call rotation.
  • Take part in design discussions and code reviews, and share learning with the wider W2 engineering group.
  • Spend about 30% of time with RWS operations teams, learning their work and building agents around their problems.
  • Own the architecture of the W2 agentic layer, make final technical decisions and write a meaningful share of production code.
  • Help colleagues make sound technical decisions and establish agent patterns, tools and guardrails for other W2 teams.

Desired Qualifications

  • C#/.NET experience.
  • Google Cloud, especially Vertex AI and Gemini.
  • TypeScript and React.
  • Agent frameworks such as Google ADK or LangGraph, or equivalent frameworks; MCP or similar tool-integration protocols.
  • Durable workflow engines and human-in-the-loop systems.
  • Agent tracing and observability tools such as Langfuse or OpenTelemetry.
  • Localization, translation management or multilingual content processing.

About the Company

RWS

AI-powered language services and localization

RWS Holdings plc provides language services and technology solutions on a global scale for sectors including aerospace, defense, automotive, life sciences, and more. Its offerings span localization, content management, artificial intelligence, and intellectual property, delivered through AI-powered language services paired with human expertise. Clients engage through service contracts and technology licensing to enable multilingual digital experiences and streamline processes. The company differentiates itself by serving a wide range of industries with tailored, compliant solutions that integrate AI, content management, and IP capabilities under one umbrella. Its goal is to help businesses overcome language barriers and optimize operations across multilingual environments.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Chalfont St Peter, United Kingdom
Founded
1958

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