Senior Software Engineer
Indexed description
Right now that means scaling our LLM-based classification pipeline further into production while keeping a sharp eye on cost as data volumes grow. Customers are increasingly getting access to the classification data behind their search and recommendation results, so quality and explainability matter as much as speed. Next up: extending enrichment from text into images, one of our biggest technical bets in the roadmap.
Day to day is a mix of two things: hands-on Java and LLM work to keep a demanding, cost-sensitive production system healthy, and architecture and roadmap discussions that shape where it goes next. We push to work agentically wherever it makes sense - using AI tools to move faster, not just to tick a box.
Some of the things you'd be up to:
- Development, writing code in Java! ☕️
- Centralize deep technical expertise within machine learning, knowledge graph structures, NLP, and LLM models
- Prompt Engineering
- Taking part in setting our technical roadmap
- Contribute to design discussions and architectural decisions, and make sure the service is built using best practices
- Create semantically enriched product classification, leveraging AI for automation, and deliver actionable product knowledge to stakeholders
- Drive innovation and continuous improvement through prototyping and evaluating new technologies
So, who are you?
You're a senior developer who's more energized by solving hard problems at scale than by following a spec to the letter. You think about how a system performs and what it costs, not just whether it works in a demo, and you're comfortable owning a production service end to end: the trade-offs between precision and recall, speed and cost, automation and control. You can hold your own in architecture discussions with search, recommendation, and ontology stakeholders, and you're just as happy writing the code yourself as designing it.
Besides those personal skills, we believe you have the following:
- A Master's degree in Computer Science, or a comparable industry career
- Experience working in cloud environments
- Experience with machine learning, knowledge graph structures, NLP, and LLM models
- And most importantly, passion for what you do
Some of the technologies you’ll get to work with
- Java
- LLMs
- AWS
- Github Actions
- Co-pilot
- A lovely worksite in Lund, we just opened our Voyado house on Gasverksgatan.
- Flexible working hours and a hybrid work approach. We're on-site at least three days a week
- Work-life balance – We don't have a long work-hours culture; we value results over hours worked
- As we strive for our employees to share Voyado’s passions and goals, you should demand no less from us. With regular one-on-ones, we make sure your needs and career have a great future at Voyado
- Joining an engaged team and colleagues with a knowledge-sharing and friendly culture
- A health hour each week, use it for walks, running, or working out – whatever you need to energize
- Our own gym at the office
- 30 days of vacation so that you can spend time with family and friends
- 5000 SEK in wellness allowance
- Encouragement to further develop personally and professionally with certifications, meetups, etc.
- Beneficial bike lease, including e-bikes
- Your choice of phone and gadget package
Equality is not only about gender but also about making everyone feel welcome and heard in a multicultural and diverse environment, We at Voyado strive to make everyone feel like they can bring their true self to work every day.
Ready to find out more?
Lovely! 🎉
Before one applies it can always feel like you need a better resume, more polish, or just another year of experience, but we say if you think this sounds like a place where you can shine don't hesitate to send in your resume!
In today’s hyper-competitive market, we help over 500 retail brands across 100 markets attract, convert, and retain loyal customers.
With AI-driven CRM, loyalty, e-commerce personalization, and retail media, Voyado turns every interaction - online or in-store - into lasting growth.
By combining customer data with product intelligence, we empower retailers to deliver the right message, product, or offer at exactly the right time. The result? Stronger customer relationships and measurable business impact.
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