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Senior Fullstack Engineer (W2, Agentic AI)

RWS

Skills

Required

  • backend services
  • web applications
  • modern frontend framework
  • React
  • LLMs
  • tool use
  • structured outputs
  • prompt design

Preferred

  • W2
  • AI
  • C# / .NET
  • cloud systems
  • CI/CD
  • Localization / translation management / multilingual content processing
  • Agent frameworks
  • Google ADK / LangGraph
  • TypeScript

Job Purpose RWS runs hundreds of thousands of localization projects a year. Much of that work still depends on our operations teams reading signals, chasing status and making routine decisions by hand.

This is a greenfield initiative with a new team. Some agents will make recommendations while people keep the final decision.

You will work alongside two engineers as the team’s technical lead. You will own the architecture of the W2 agentic layer and make the final technical call, while writing a meaningful share of the production code and helping your colleagues make good decisions of their own.

This is an individual contributor role with no direct reports: you lead through expertise.

About RWS

  • We are building W2, our next-generation localization automation platform, and we want AI agents to take on part of that work so operations can scale without growing at the same pace.
  • You will spend about 30% of your time with RWS operations teams, learn how they work and build agents around their actual problems.
  • Product & Technology Product & Technology plays a pivotal role in aligning the organization with its strategic objectives and enhancing shareholder value.
  • Product & Technology is responsible for establishing unified standards and governance practices throughout the company.
  • Additionally, we oversee the development and maintenance of core applications essential for the seamless operation of various functions across the organization.
  • We are committed to driving and executing future roadmaps that are in line with the overall strategic direction of RWS.
  • With a global reach, Product & Technology provides support services to over 7500 end users worldwide.
  • We take pride in managing the information security operation and safeguarding all our assets.

Our core functions encompass

Enterprise & Technical Architecture, Network & Voice, Infrastructure, Service Delivery, Service Operations, Data & Analytics, Security & Quality Compliance, Transformation, Application Development, Enterprise Platforms, With a dedicated team of over 500 staff, Product & Technology ensures a strong presence across all regions, enabling efficient and effective support to our global operations.

Life at RWS 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.

Responsibilities

  • Others will run multi-step workflows on their own, inside boundaries we define and can audit.
  • Your job is to make both kinds trustworthy enough that operations teams want to use them.
  • The team works with several other W2 teams, and the agent patterns, tools and guardrails you set will become the standard they build on.
  • You will report to the Engineering Director and present technical direction to engineering leadership.
  • The team also works as forward-deployed engineers.
  • Key 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 the agents depend on.
  • Build the web applications people use to configure agents, review and approve recommendations and inspect what an agent did and why, or adapt open-source tools where they give us a better start.
  • Implement retrieval and context handling so agents get the right data at the right time.
  • retries, recovery, idempotent actions, permissions and audit trails.
  • Write evaluations and tests that show whether an agent improves things for operations, and use them to compare models and keep costs down.
  • Deploy, monitor and improve what you build.
  • There is no on-call rotation.
  • Take part in design discussions and code reviews, and share what you learn with the wider W2 engineering group.
  • APIs, asynchronous processing, persistence and failure handling.
  • you clarify vague problems, propose solutions and see them through.
  • Nice to have Google Cloud, especially Vertex AI and Gemini.
  • TypeScript and React.
  • Agent frameworks such as Google ADK or LangGraph; MCP or similar tool-integration protocols.
  • Agent tracing and observability tools such as Langfuse or OpenTelemetry.
  • Google Cloud, especially Vertex AI and Gemini.

Requirements

  • you have built and shipped both backend services and the web applications on top of them.
  • Hands-on experience with a modern frontend framework, ideally React, and care for building interfaces that are clear and practical to use.
  • Hands-on experience building with LLMs, such as tool use, structured outputs and prompt design.
  • Awareness of agent security risks such as prompt injection and unsafe tool execution.
  • Clear communication in English with engineers and non-technical colleagues alike, and enjoyment of working directly with the people who use what you build.
  • Durable workflow engines and human-in-the-loop systems.
  • Durable workflow engines and human-in-the-loop systems.

Preferred

  • Production experience is a plus, but a serious side project or internal tool also counts.
  • Strong coding skills and comfort working across languages.
  • C#/.NET experience is an advantage.
  • Experience with cloud systems and CI/CD.
  • Localization, translation management or multilingual content processing.
  • Agent frameworks such as Google ADK or LangGraph, or your own equivalent; MCP or similar tool-integration protocols.

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

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