Software Engineer

RWS

Dublin

On-site

EUR 90,000 - 120,000

Full time

18 hours ago
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Job summary

RWS is seeking a mid-level product-focused engineer to join our TrainAI team in Dublin, Ireland. You’ll own features end-to-end—design, build, ship, and iterate—working with AI agents while applying strong product judgment.

This fast-paced, AI-native group values ownership and collaboration across engineering, design, data, and product to deliver impactful results. You’ll mentor peers, influence technical direction, and help scale AI-driven development across the lifecycle.

Qualifications

  • 6+ years of engineering experience with autonomy in shipping products.
  • Deep fluency with AI development tools and agentic workflows; able to master new tooling quickly.

Responsibilities

  • Own products end-to-end: define problems, shape solutions, ship, and iterate.
  • Use AI coding agents and agentic workflows as the main execution method and set patterns for the team.
  • Make design and architectural calls with minimal guidance and defend trade-offs.
  • Talk to users, translate insights into features, decide what to build.
  • Build analytics, evals and monitoring to measure product success.
  • Mentor engineers on product thinking and AI-driven development.
  • Influence the team's technical direction and AI tooling adoption.

Skills

AI development tools
Agentic workflows
Product sense
Ownership

Tools

AI coding agents

Job description

Training or fine-tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do – our clients need responsible AI data that’s targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of AI project time, leaving AI teams with precious little time to focus on developing, deploying and evaluating ML models. TrainAI by RWS helps our clients address this challenge head-on.

With a seamless blend of technological understanding and human intelligence, TrainAI provides complete, end-to-end data collection and content generation, data annotation or labelling, human-in-the-loop data validation and generative AI data services for all types of AI, in any language, at any scale, based on the principles of responsible AI. Today, TrainAI supports four of the world’s top five technology companies, enhancing the performance of their generative AI by providing services such as prompt engineering, response refinement and red teaming with locale-specific domain experts across a broad range of topic areas and educational levels.

Job Purpose

We’re looking for a mid-level product focused engineer to join our team.

You’ll own features and small products end-to-end—design, build, ship, iterate—using AI tools as your primary means of execution. You’ll be working with AI agents but bringing your own product judgment to every decision. We move fast because AI multiplies what one engineer can do, and this role is built for that.

Responsibilities
  • Own products end-to-end: define the problem, shape the solution, ship it, and drive iteration based on real user behavior
  • Use AI coding agents and agentic workflows as your primary means of execution—and establish patterns others on the team adopt
  • Make design, UX, product, and architectural calls with minimal guidance, and defend the trade-offs
  • Talk directly to users, translate insights into shipped features, and decide what's worth building
  • Build the feedback loops—analytics, evals, monitoring—that determine whether the product is succeeding
  • Mentor other engineers on product thinking and effective AI-driven development
  • Influence the team's technical direction and how it adopts AI tooling
Requirements
  • 6+ years of engineering experience, including shipping products with significant autonomy
  • Deep fluency with AI development tools and agentic workflows, or a demonstrated ability to master new tooling fast and teach it
  • Strong product sense: you consistently make good calls about what to build and why
  • Comfort operating with full ownership and ambiguity—you set the plan rather than wait for one
  • Ability to work fluently across the entire stack and across disciplines (engineering, design, data, product)
  • Track record of driving outcomes, not just output
Nice to have
  • Founder, founding-engineer, or solo-builder experience
  • Background spanning multiple roles (engineer + designer, or engineer + PM)
Why is this role different?
  • You won't be handed tickets—you'll be handed problems, and the leverage of AI to solve them across the whole lifecycle. You'll set the standard for how a small, AI-native team ships great products.
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.

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