AI Platform Engineer

AxiumAI
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Cloud Computing
Communications Protocols
Databases
Continuous Integration
DevOps
Python
Network Security
Redis
Prometheus
Real Time Systems
Delivery Pipeline
Grafana
Reliability of Systems
Backend
Kubernetes
Infrastructure Automation Frameworks
Kafka
Terraform
Docker
Microservices

Job description

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.

Requirements

· 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

About the company

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.

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