DevOps Engineer - AI/ML

Builder.ai helps entrepreneurs and businesses build software without tech knowledge, voted 2023's Most Innovative Companies in AI by Fast Company.
DevOps
Mid-Level Software Engineer
In-Person
501 - 1,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For DevOps Engineer - AI/ML

Builder.ai is a revolutionary company transforming software development, making it accessible to everyone regardless of technical background. Recently securing $250m in Series D funding and partnering with Microsoft, they've grown to over 800 people globally. The DevOps Engineer role sits within their AI Group, focusing on maintaining and expanding microservices that leverage cutting-edge AI techniques including large-scale knowledge graphs and Generative AI.

The position offers a unique intersection of data science and DevOps, working with a modern tech stack including Python, SQL, Docker, Kubernetes, and cloud platforms (AWS, Azure). You'll be responsible for supporting data scientists, implementing AI-based production APIs, and maintaining robust infrastructure for data and model training pipelines.

The company culture encourages experimentation and innovation, guided by their HEARTT values (Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency). They offer comprehensive benefits including stock options, private healthcare, and generous leave policies.

This role is perfect for someone who enjoys solving complex problems at the intersection of AI and infrastructure, with opportunities to work with cutting-edge technologies like LLMs and graph databases. You'll be joining a fast-growing company that's already helped thousands of entrepreneurs and global brands achieve their software goals, with the backing of significant funding and industry recognition.

Last updated an hour ago

Responsibilities For DevOps Engineer - AI/ML

  • Maintain and expand ecosystem of microservices within AI Group
  • Ensure robustness and scalability of AI-based production APIs
  • Support data and model training pipelines
  • Support data scientists in development of AI-based production APIs
  • Design, implement, deploy, and maintain microservices infrastructure

Requirements For DevOps Engineer - AI/ML

Python
Kubernetes
  • Computer Science or Software Engineering degree / BSc or higher
  • Strong Python coding experience
  • Experience with SQL querying language
  • Experience working with Docker in development and deployment
  • Experience reading/implementing CI/CD workflows
  • Experience with software engineering best practices
  • Unit testing with mocks, code reviews, design documentation
  • Excellent debugging and troubleshooting skills

Benefits For DevOps Engineer - AI/ML

Medical Insurance
Dental Insurance
Equity
  • Discretionary variable pay or commission scheme
  • Stock options in Series D scale-up company
  • 24 days annual leave + bank holidays
  • 2 Builder family days each year
  • Time off between Christmas and New Year
  • Cycle to Work Scheme
  • Season Ticket Loan
  • Generous Referral Bonus scheme
  • Pension contributions
  • Private Medical Insurance by AXA
  • Private Dental Insurance by Bupa
  • Access to Perkbox

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