LanguageWire is a global leader in language and content services, dedicated to helping brands achieve their full global potential. Since 2000, we’ve evolved and built unique technology that enables seamless multilingual communication. Our worldwide network of language experts, together with our intuitive online platform, empowers brands to translate and manage multilingual content effortlessly.
The role you’ll play
You will help improve our existing ML-based products and build new features and services using LLMs. A core part of the role is context engineering — designing the right inputs, retrieval strategies, and prompt structures to get the best possible output from LLMs in production. You'll also contribute to our software engineering efforts when needed, bridging the gap between ML and software engineering on the team.
The team you’ll be a part of
You will work in the Machine Learning Team, where we build LanguageWire's machine translation (MT) and adjacent services to monitor and predict its performance. The team consists of ML Engineers, Analytics Engineers, and Full Stack Software Engineers. You'll collaborate across these disciplines daily, and we value people who can move fluidly between ML experimentation and production engineering. You'll report to the team leader.
If you want to make a difference, make it with us by…
- Context engineering LLM-based translation workflows — designing retrieval strategies, prompt structures, and input pipelines that maximize output quality.
- Productionizing the prototypes that prove their value.
- Staying current with LLM research & tools, bringing relevant findings back to the team.
- Constructing and evaluating experiments to measure what actually works.
In one year, you’ll know you were successful if…
- We have made meaningful progress toward agentic MT — where translation workflows can reason, self-correct, and orchestrate multiple steps autonomously
- Our LLMOps practices are mature enough to deploy, monitor, and iterate on LLM-based services with confidence
- Our ways to evaluate MT have improved, applying techniques such as LLM-as-a-judge.
- We can offer even better personalized MT for our customers using LLMs.
Desired experience and competencies
What you’ll need to bring
- 2–3+ years of relevant experience from areas such as ML engineering, AI engineering, or software engineering with a strong ML focus
- Hands-on experience with LLMs and prompt/context engineering — either professional or through substantial personal projects.
- Experience with best practices and building production grade systems in Python. Knowledge of other programming languages is considered a bonus.
- Experience constructing and evaluating experiments.
- A strong analytical mindset — you think in terms of hypotheses, baselines, and measurable outcomes
- A keen interest in the rapidly evolving LLM space and tooling.
This will make you stand out
Experience with:
- Context engineering — designing retrieval, chunking, and prompt strategies for production LLM systems
- Building agentic products or prototypes
- Training or fine-tuning ML models
- LLMOps — deployment, monitoring, evaluation, and iteration of LLM-based services
- Building production-grade, scalable software systems
Our perks
- Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas
- Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture
- International company with over 300 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg,, Sophia Antipolis, Atlanta, Finland and Valencia
- For this role, we have a full-time FlexiWire@home option for remote work. Of course, you are always welcome at the office to collaborate and connect with your colleagues.
- We take care of our people and initiate many social get-togethers from Friday Bars a to Summer or Christmas parties. We have fun!
- Excellent location in cool and modern offices in the city center, with a great rooftop terrace and a view over the Town Hall Square
- Private health insurance
- Working in an international environment—more than 20 different nationalities
- A dog friendly atmosphere
- Big kitchen with access to organic fruits, nuts and biscuits and coffee.
- Social area and game room (foosball table, darts, and board games)
- Bike and car parking
About LanguageWire
At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe.
Our values drive our behavior
We are curious. We are trustworthy. We are caring. We are ambitious.
At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.
Working at LanguageWire — why we like it:
“As a Senior Full Stack Engineer at LanguageWire, my day is dynamic and collaborative, particularly within the Machine Learning team. I work closely with Machine Learning Engineers to integrate advanced AI capabilities into our web applications and APIs, aiming to enhance customer experiences through innovative features. I also collaborate with other development teams to ensure seamless integration and alignment of our technology solutions, fostering continuous learning and driving the evolution of LanguageWire's technology.”
(Cristian, Senior Full-Stack Engineer, Poland)
Yes, to diversity, equity & inclusion
In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work.
LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills.
Want to know more?
We can’t wait to meet you! So, why wait 'til tomorrow? Apply today!
If you want to know more about LanguageWire, we encourage you to visit our website!
Originally posted on Himalayas