Senior Software Engineer, AI/ML Platform

About the role

We are looking for a versatile senior engineer blending software engineering, data engineering and modern AI/ML development skills. You'll build and operate the critical systems underpinning our AI/ML/data infrastructure, focusing on practical, scalable solutions.

Your core tasks involve creating core data infrastructure, integrating and deploying AI models, especially leveraging APIs and LLMs. This requires hands-on work with cloud platforms, containerization, and infrastructure automation tools. It also includes close collaboration with the Backend and DevSecOps teams.

Your impact will be direct: enabling new AI-powered features, collaborating across technical boundaries to effectively merge data, software, and AI using modern engineering practices.

This position has a very wide impact in the organization, is very visible, and is expected to deliver impactful solutions with minimal supervision.

Responsibilities

• Integrating and operationalizing AI/ML models (esp. via APIs and LLMs)
• Building & maintaining robust data pipelines (ETL/ELT)
• Developing and deploying scalable services & APIs, incl. containerization
• Managing cloud infrastructure using Infrastructure-as-Code (IaC)
• Managing diverse data storage solutions (warehouses, databases)
• Implementing reporting (dashboards as-code in Holistics), system monitoring, logging, and alerting
• Automating build, test, and deployment workflows (CI/CD)
• Troubleshooting issues across data, application, and infrastructure layers
• Collaborating closely across all engineering and product teams

What you’ll bring

We're looking for someone who:

• Experience deploying or integrating AI/ML models/services (e.g., using APIs, understanding MLOps fundamentals)
• Strong programming skills, with a preference for Python with demonstrated experience developing and deploying scalable backend services and APIs
• Proven experience building, deploying, and maintaining data pipelines (ETL/ELT)
• Has Hands-on experience with at least one major cloud provider (AWS, GCP, Azure)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with Infrastructure as Code principles and tools (e.g., Terraform)
• Solid understanding of various database technologies (SQL, NoSQL)
• Has experience in implementing and utilising CI/CD practices and tools
• Is a strong stakeholder management and communication skills, with the ability to organize cross-functional requests and explain complex ideas in plain English
• Is proactive and collaborative, takes initiative and delivers results with minimal supervision
• Has eagerness to learn new technologies and adaptable to changing requirements in a fast-moving AI environment