AI Engineer

Xensam: Join the Future of SAM
Xensam is the leader in AI-powered, cloud-based Software Asset Management. Our technology brings clarity to complex IT environments, helping users make smart, data-driven decisions and maximize software ROI.

Recognized with the Highest Growth Award and ranked #3 Overall Champion at the Main Software 50 Awards Nordics, we're scaling fast and looking for people who want to join the journey. At Xensam, you play a key role in a team built on energy, focus, and positivity. We value experience, but even more, the person behind it.

Together, we build the future of SAM.

About the role

As our AI Engineer at Xensam, you will work at the core of where real, impactful AI is built. You will spend your time turning ideas into reliable, production-ready systems. You will design, train and fine-tune advanced AI models, working with everything from LLMs to specialized NLP pipelines. You will also deploy these models into real customer environments and take ownership of the entire lifecycle, from raw data to scalable, high-performing solutions. You will shape the direction of our AI capabilities, push the boundaries with modern deep learning and see your work make a direct impact on our product, our users and the future of software asset management.

Responsibilities

You will develop and optimize LLMs and NLP models, using methods such as LoRA and adapters. You will also preprocess and structure large-scale datasets for training and evaluation. Furthermore you will also:

• Engineer prompts and prompts-chains for instruction-tuned models.

• Evaluate model performance using task-specific metrics (e.g., F1, ROUGE, BLEU, perplexity).

• Optimize training on GPU/TPU with mixed-precision and memory-aware strategies.

• Implement distributed training using frameworks like DeepSpeed or PyTorch DDP.

• Integrate RAG (retrieval-augmented generation) pipelines using vector databases such as FAISS or pgvector.

• Track experiments using MLflow, Weights & Biases, or similar tooling to ensure reproducibility and auditability

• Package and deploy models in production using Docker, CI/CD pipelines, and orchestration via Kubernetes.

• Leverage cloud services (AWS, Azure, GCP) for scalable training and inference.

• Ensure data governance and privacy compliance (e.g., GDPR, HIPAA) across AI workflows.

Qualifications 

• Strong expertise in training and evaluating neural networks using TensorFlow or PyTorch.

• Hands-on experience with deploying ML models in production using Docker, Kubernetes, and MLOps pipelines.

• Capable of implementing supervised, unsupervised, and reinforcement learning systems and optimizing them for performance and accuracy.

• Able to manage cloud-based training/inference environments and scalable APIs with robust CI/CD workflows.

• In-depth knowledge of NLP systems including LLMs, transformers, and embedding-based models.

• Experience with prompt engineering, LoRA, adapters, and RAG integrations.

• Familiar with techniques for fine-tuning foundation models and building custom task-specific variants.

• Familiarity with Agile methodologies and experience working in an Agile team.

• Strong proficiency in written and spoken English.

What you get

• A generous work culture with free drinks and snacks, office massages, and more.

• Three days in-office (with remote work on Mondays and Fridays).

• An opportunity to shape your career growth while contributing to the company's success.

• A dynamic position embracing "freedom under responsibility".

• If sales targets are met, all employees enjoy an annual destination trip.

• Other location-specific benefits.

Our values at Xensam

Rebellious
We challenge the norm and act with initiative – always with responsibility.

Humane
We foster a caring, inclusive environment that values diversity and respects individuality.

Harmony
We value balance and create a supportive workplace where people thrive.

As part of our recruitment process, we conduct background checks on final candidates to fulfill our commitments to customers and ensure a safe work environment.