AI Platform Engineer

Overview Location : Hybrid : Gibraltar / London

AxiumAI is an AI-native technology company pioneering Autonomous Consumer Engagement AI .

Our flagship platform, Verso , enables sportsbook operators to engage players 24 / 7 with real-time, personalised narratives and insights across pre-match, in-play, and bet settlement, among many other use cases. The result : stronger engagement, more transactions, and significant incremental revenues for our operator partners.

We’re growing fast, working with leading operators, and expanding the capabilities of our platform at pace. 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 an AI Platform Engineer, you’ll shape the technical backbone of our platform, collaborating with the founding team to build reliable and scalable AI systems.

You will :

Design infrastructure to support high-performance ML model deployment and real-time inference

Build scalable APIs and microservices for AI and data integrations

Develop CI / CD pipelines and containerized environments (Docker, Kubernetes)

Implement observability, monitoring, and alerting across the platform

Collaborate cross-functionally with ML engineers and product teams

Contribute to architectural decisions and influence engineering culture

How you will make 10X Impact by :

Building infrastructure that makes real-time ML performance seamless

Enabling rapid experimentation, testing, and deployment of models

Establishing best-in-class engineering standards and systems reliability

Influencing core architecture and platform strategy from day one

As an early team member, you'll have a unique opportunity to shape our technical direction and growth. Some travel may be required as we build our distributed team.

Specialist Skills and Experience Core

6+ years in backend / platform / infra engineering; 2+ years in ML / AI systems

Strong systems design and implementation experience with microservices architectures, API and agentic model protocol design

Proficiency in Python; exposure to Go / Rust / Java for performance-critical code

Expertise in Docker, Kubernetes, Terraform, and cloud-native infrastructure (GCP / AWS)

Track record of designing and implementing production-grade infrastructure and DevOps practices including enterprise grade CI / CD, infrastructure as code, and automated testing

Experience with CI / CD pipelines, microservices, and secure network architectures

Real-time systems (Kafka, Redis, Pub / Sub) and observability stacks (Prometheus, Grafana, etc.)

Ability to discuss and debate relative merits and opportunities in technical decision making

Extra bonus :

Exposure to ML model serving, feature stores, or vector databases

Fintech, gaming, or real-time decisioning systems background

Startup or consulting experience

Competencies / behaviours 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.

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