We’re building a next-generation AI platform that delivers hyper-personalised customer experiences at scale. Processing billions of data points daily, we use advanced ML and large language models (LLMs) to power intelligent recommendations, contextual content, and real-time decisioning, driving >10% revenue uplift for our partners.
As a member of AxiumAI, you’ll have access to state-of-the-art NLP/NLG tools, foundation models, hybrid vector databases, and all the infrastructure needed to fine-tune, evaluate, and serve production-grade models.
We go beyond training models, we build AI systems that are accurate, fast, reliable, and deeply integrated into user-facing products. Join us in shaping the future of intelligent systems.
What You’ll do
As a Data Engineer, you’ll be a key contributor to our ML infrastructure, working closely with the founding team to scale our AI-native platform.
You will:
· Design and build scalable, high-performance data pipelines and APIs.
· Implement real-time streaming architectures for intelligent, low-latency AI decisions.
· Collaborate with data scientists and ML engineers to productionize models and agents.
· Maintain data quality, monitoring systems, and alerting infrastructure.
· Influence architecture, tooling, and engineering culture from day one.
· Contribute to a multi-disciplinary team working across data, engineering, and product.
You’ll Make 10x Impact By:
Designing AI-native data infrastructure to support rapid scale.
Ensuring real-time data feeds power smart, responsive AI systems.
Establishing strong engineering and monitoring standards.
Helping shape a high-performance culture and stack.
You Bring
Core experience (must-have):
3+ years in data/software engineering
Strong SQL & Python skills; solid grasp of OOP and Git best practices
Cloud experience (GCP or AWS)
Proficiency in Apache Spark or PySpark
Real-time systems (Pub/Sub, Kinesis) and containerization (Docker, Kubernetes)
Monitoring tools (e.g., Grafana, Prometheus, Datadog)
Extra bonus:
Familiarity with embeddings, vector DBs, graph databases
Orchestration tools (Airflow, Dagster, Prefect)
Startup or consulting background
Competencies / behaviours
Honesty and integrity
Integrity and ownership mindset
Curious and driven to learn fast
Team player who thrives in ambiguity
Passion for building things that matter
Fast and keen learner
This is a flexible role, but not fully remote. In-person presence at our Gibraltar office is required on average once per week.