AI Engineer

Xensam: SAM Disrupters
Xensam is the leading provider of AI-powered cloud-hosted Software Asset Management technology. Were looking for key players to join us as we scale our impact and build the Xensam team together. We take our culture seriously and strive to maintain the excellence energy & enthusiasm that flows through the organization today.

We look for candidates who are passionate about what they do and ready to work the Xensam way. We know that experience counts but we also know that its you the person behind the experience that makes it count.

About the role
As our AI Engineer at Xensam your role will include to design build fine-tune and deploy advanced AI models using state-of-the-art machine learning and deep learning techniques. This includes managing the entire lifecycle of LLM and NLP systems from data preprocessing to production deployment ensuring scalability performance and accuracy for real-world applications.

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 key role in an exciting international expansion.
• The opportunity to help build our office in Romania from the ground up.
• A dynamic work environment with a high degree of responsibility.
• Competitive salary and benefits.
• If sales targets are met all employees enjoy an annual destination trip.
• Join an ambitious and diverse team and work with cutting-edge technology in the fastest-growing SAM software on the market.
• An opportunity to shape your career growth while contributing to the companys success.
• Other location-specific benefits.

At Xensam our core values define our culture:

REBELLIOUS We foster a rebellious spirit promoting freedom within responsibilities and encouraging initiative.

HUMANE Our team promotes a caring inclusive environment where diversity is valued and individuals are respected and empowered to be themselves.

HARMONIOUS We prioritize harmony valuing work-life balance and creating a pleasant atmosphere.

Join Xensam for a balanced collaborative and caring workplace. If youre a team player eager to grow professionally APPLY now!

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.