Senior Software Engineer

Voyado Lund AB; Lunds kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Lund worksite

Hybrid hours

Work-life balance

One-on-ones for career

Team culture

Health hour

In-house gym

30 days vacation

Wellness allowance

Certifications support

Bike lease

Phone & gadget package

Job summary

Voyado Elevate seeks a senior engineer to own the classifier service that enriches product feeds with LLMs and maps to our Knowledge Graph. You’ll work across search, recommendations, and ontology, scaling classification pipelines in production while balancing cost and quality.

You’ll lead hands-on Java and LLM work, participate in architecture discussions, and help shape the technical roadmap. A Master’s in CS and cloud experience are preferred.

Qualifications

• Master's degree in Computer Science or equivalent
• Experience in cloud environments
• Experience with ML, knowledge graphs, NLP, and LLM models
• Passion for development and production-grade systems

Responsibilities

• Centralize deep technical expertise in ML, knowledge graphs, NLP, and LLMs
• Prompt Engineering and architectural design discussions
• Contribute to technical roadmap and best-practice decisions
• Create semantically enriched product classification and actionable knowledge for stakeholders
• Drive innovation through prototyping and evaluation of new technologies

Skills

Machine Learning

Knowledge Graph

NLP

LLM models

System design

Education

Master's degree in Computer Science

Tools

Java

AWS

Github Actions

Job description

This is a hands‑on senior engineering role at the heart of how Voyado Elevate understands products. As a subsystem team inspired by Team Topologies, you, Andreas and Maxim own our Classifier - the service that enriches every product feed with LLMs and maps it into our Knowledge Graph, powering search, recommendations, and navigation. You sit at the intersection of our search, recommendation, and ontology teams, and the team owns the technical roadmap.

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:

• 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

And when the time comes when you need a break, why don't you spend some time in the gym, tinker in our puzzle corner or challenge our Åre office in Call of Duty on our PlayStation 5?

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
• passion for what you do

If you are interested in algorithmic problem-solving, that's meritorious.

Some of the technologies you'll get to work with

• Java
• LLMs
• AWS
• Github Actions

So, what's in it for you?

Voyado Elevate wouldn’t be the powerful platform it is without the people behind it. We care about you, and some examples of what we can offer you are:

• 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

Some of our benefits:

• 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

At Voyado, we believe in gender equality. We are proud sponsors of Womengineer as well as Tjejer Kodar! Read more about Tjejer Kodar & Voyado here

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.