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RWS

AI-powered language services and localization

Principal Software Engineer - Agentic AI

AI Application EngineeringPosted on Nov 11
Full-timeBrno, CzechiaNo salary listedIn-person

About the Job

Requirements

  • A track record of owning complex backend systems in production, including APIs, asynchronous processing, messaging, persistence, and failure handling.
  • Experience taking LLM-powered applications beyond the demo stage, including tool use, structured outputs, evaluation, and operational concerns.
  • Strong backend coding skills and comfort working across languages; C#/.NET experience is an advantage.
  • Willingness to build simple internal user interfaces or adapt open-source ones.
  • Experience running cloud systems with proper continuous integration and continuous delivery, observability, and security.
  • Principal-level influence, including shaping architecture and growing engineers across teams without formal authority.
  • Practical knowledge of agent security, including prompt injection, secure tool execution, and least-privilege access.
  • Sound judgment about what large language models cannot do reliably.
  • Ability to identify problems, propose a path, and move forward without waiting for a full specification.
  • Clear communication in English and ability to explain technical trade-offs to engineers, operations staff, and managers.

Responsibilities

  • Build agents that use W2 tools and data to analyze situations, recommend actions, and run workflows such as content analysis, routing, and progress tracking.
  • Design how agents find and use W2 data, including retrieval, context, and memory.
  • Support graduated autonomy, from shadow mode through human-approved actions to autonomous execution.
  • Create reusable building blocks for tool integration, state, configuration, and orchestration.
  • Determine when an agent is appropriate and when a workflow, rule, or off-the-shelf product is preferable.
  • Design for long-running work, including retries, recovery, cancellation, and idempotent actions.
  • Build permissions, approval gates, audit trails, and data protection into the system from the outset.
  • Set up evaluations that measure agent behavior against business outcomes, and make quality, latency, failures, and cost visible.
  • Use evaluations to compare evolving models, including models beyond Gemini, recommend changes, and select the least costly model that performs each task well.
  • Own the system after launch, including deployment, monitoring, and continuous improvement; there is no on-call rotation.
  • Build backend services, APIs, and W2 integrations behind the agents.
  • Build or adapt open-source administrative tools for configuring agents, managing prompts and policies, reviewing recommendations, and inspecting executions.
  • Set direction for the agentic layer and explain trade-offs to engineers and stakeholders across teams.
  • Mentor engineers through design reviews, pairing, and code review.
  • Break ambiguous problems into increments that deliver value early without compromising long-term architecture.
  • Spend about 30% of the time with RWS operations teams to understand their work and build agents around their actual problems.

Desired Qualifications

  • Google Cloud, especially Vertex AI and Gemini.
  • Agent frameworks such as Google ADK or LangGraph, or an equivalent; 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.
  • TypeScript and React.
  • Forward-deployed or customer-facing engineering experience.
  • 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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