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Builder.ai

DevOps Engineer - AI/ML

Sorry, this job was removed at 05:30 p.m. (GMT) on Wednesday, Feb 19, 2025
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In-Office
London, Greater London, England
In-Office
London, Greater London, England

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Description

About Builder.ai 

We’re on a mission to make software development building so easy everyone can do it – regardless of their background, tech knowledge or budget.  We’ve already helped thousands of entrepreneurs, small businesses and even global brands, like the BBC, Makro and Pepsi achieve their software goals and we’ve only just started. 

Builder.ai was voted as one of 2023’s ‘Most Innovative Companies in AI’ by Fast Company, and won Europas 2022 ‘Scaleup of the Year’. Our team has grown to over 800 people across the world and our recent announcement of $250m Series D funding (and partnership with Microsoft) means there’s never been a more exciting time to become a Builder.

Life at Builder.ai

At Builder.ai we encourage you to experiment! Each role at Builder has unlimited opportunities to learn, progress and challenge the status quo. We want you to help us become even better at supporting our customers and take software development building to new heights.

Our global team is diverse, collaborative and exceptionally talented. We hire people for their differences but all unite with our shared belief in Builder’s HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency) and a let’s-get-stuff-done attitude.

In return for your skills and commitment, we offer a range of great perks, from private healthcare and discretionary variable pay or commission scheme, to employee stock options, generous paid leave, and trips abroad #WhatWillYouBuild

Why We Need This Role

We are looking for a DevOps Engineer to help us maintain and expand an ecosystem of microservices developed within the Artificial Intelligence Group. We leverage a range of AI techniques including large scale knowledge graphs and Generative AI (LLMs for text and images). The role includes ensuring robustness and scalability of AI-based production APIs, as well as data and model training pipelines.  As we push the boundaries of what is possible, and scale our systems to improve the services we deliver to customers and internal teams, we need individuals that can help us innovate fast, but maintain a high quality bar.

Why You Should Join

The position will be at the intersection of data science and DevOps. You would want to join because of the variety of problems we are facing: support to data scientists in the development of AI-based production APIs; support the design, implementation, deployment, maintenance of our microservices infrastructure, data and model training pipelines. This is an engaging role and you should be an eager problem solver that takes pride in the production of clean, robust and scalable solutions.

Our Tech Stack

  • Python
  • SQL
  • Cypher
  • Git/Gitlab and CI/CD workflows
  • Terraform
  • Docker and Kubernetes (kubectl, helm, helmfile)
  • AWS, Azure
Requirements
  • Computer Science or Software Engineering degree / BSc or higher
  • Strong Python coding experience
  • Experience with the SQL querying language
  • Experience working with Docker both in development and deployment environments
  • Experience reading/implementing CI/CD workflows
  • Experience with software engineering best practices: unit testing (with mocks), code reviews, design documentation, excellent debugging, troubleshooting skills

Added bonus:

  • Background in running Kubernetes
  • Experience with Graph databases
  • Familiarity with FastAPI (or similar frameworks) for building high-performance APIs
  • Familiarity with the OpenAI API or other LLM-based APIs (including streaming capabilities)
  • Experience deploying or maintaining ML or LLM pipelines
  • Hands-on experience in all facets of automation and systems architecture, with particular focus on Linux and open source technologies
  • Experience with GitLab
  • Experience working in Cloud environments, in particular Azure or AWS
Benefits
  • Discretionary variable pay or commission scheme dependant on your role
  • Stock options in a $450 million funded Series D scale-up company
  • 24 days annual leave + bank holidays
  • 2 x 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 provided by AXA 
  • Private Dental Insurance provided by Bupa 
  • Access to our Perkbox

Builder.ai London, England Office

119 Marylebone Road, London, United Kingdom

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