Founding AI Platform Engineer (MLOps / Backend)

About the Position

We’re hiring a Founding AI Platform Engineer to architect and own the backbone of our ML and GenAI systems - driving reliability, scalability, and seamless deployment from day one.

Are you ready to take your MLOps skills to the next level?

We are hiring a Founding AI Platform Engineer to own the systems that make our ML and GenAI products reliable, deployable, observable, and scalable. This role sits at the intersection of backend engineering, infrastructure, MLOps, and product delivery. You will build the production layer around training, evaluation, deployment, serving, CI/CD, experimentation, and monitoring. In a team of our size, this role spans backend services, infrastructure, tooling, and reliability work. Your job is to make sure promising ML and GenAI capabilities become stable, customer-ready systems.

Responsibilities

• Build and maintain the infrastructure and tooling used to train, evaluate, deploy, and monitor ML models and GenAI services.
• Own production services, APIs, and pipelines that power recommendations, agent workflows, and customer-facing integrations.
• Improve CI/CD, testing, release workflows, rollback processes, and environment management.
• Establish observability across service health, model behavior, agent quality, latency, cost, and failure modes.
• Build reproducibility and lifecycle practices for models, prompts, datasets, configurations, and releases.
• Support experimentation and measurement infrastructure so product and ML changes can be evaluated cleanly.
• Improve reliability, scalability, security, performance, and cost efficiency across the stack.
• Troubleshoot production issues end-to-end and turn recurring pain points into durable engineering improvements.
• Help define the platform and engineering standards the company will rely on as it grows.

Requirements

• Strong software engineering background with experience building and operating production systems.
• Experience with backend services, cloud infrastructure, CI/CD, testing, observability, and automation.
• Strong Python skills and comfort working across services, tooling, infrastructure, and operational workflows.
• Good judgment about reliability, performance, maintainability, and cost tradeoffs.
• Ability to collaborate closely with ML and product teams and move ambiguous work to completion.
• High ownership, attention to detail, and a bias toward simplifying and strengthening systems.

Nice to Have

• Experience with MLOps workflows for model training, evaluation, deployment, and monitoring.
• Experience serving ML models or LLM applications in production.
• Experience with experimentation platforms, event pipelines, analytics instrumentation, or feature delivery platforms.
• Experience with agent evaluation, prompt versioning, retrieval/search infrastructure, or vector-backed systems.
• Experience supporting customer-facing APIs or SaaS platform infrastructure.

We Offer

• Zero bureaucracy
• Unlimited holidays
• Medical insurance
• Only top talent and top salaries
• Challenging projects and tasks
• Smartest colleagues in the industry

About the Company

Gamingtec is an international brand that develops complete B2B software solutions for the iGaming industry. The company’s services are compliant in the following jurisdictions, including, but not limited to:

• Curaçao
• Isle of Man
• Anjouan
• Portugal
• Poland
• Mexico

Locations

• Remote
• London
• Limassol
• Tbilisi
• Yerevan

Sounds interesting? Do not hesitate to apply or contact us if you have any questions!