Senior AI Backend Software Engineer I - AI Application Platform

Requirements

• Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance, and constraints.
• 7+ years of professional experience in software engineering, with a focus on backend or platform development.
• Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices.
• Proficiency in one or more server-side programming languages such as Java, Scala, or Python.

Nice to Haves

• Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications.
• Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP.
• Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution.

What You'll Be Doing

• Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions and guide decision-making.
• Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions that meet evolving business needs.
• Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance.

Perks & Benefits

• Annual paid time off and generous leave schemes.
• Hybrid working with flexible arrangements and opportunities to work from abroad.
• Commuting allowance and bike reimbursement scheme.
• Discounts, development programs, and free access to online learning platforms.