Senior Backend Engineer - AI Platform (f/m/d)

Contentful
London
1 year ago
Applications closed

Related Jobs

View all jobs

MLOps Engineer- Contract Role

Sr Product Manager, Data Science

Senior Machine Learning Engineer

Senior Machine Learning Engineer, Gen AI

Senior Data Scientist - QuantumBlack Labs

Principal Data Scientist & Machine Learning Researcher

About the Opportunity

Join Contentful as an AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect?

Collaborate and Innovate:Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.Platform Development:Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.AI Integration:Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.Holistic Thinking:Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.Rapid Problem-Solving:Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.Continuous Improvement:Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.Stay Current:Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful

API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns.Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.Containerization and Orchestration:Experience with Docker and Kubernetes, especially in deploying AI models or microservices.Enterprise Solutions:Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. Cloud Services Familiarity:Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.Problem-Solving Skills:A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.Collaborative Mindset:Excellent communication skills and the ability to collaborate effectively in a team environment.Adaptability:Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

AI and Machine Learning Expertise:Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.Platform Experience: Experience in developing platform features to enable internal teamsFull Stack Experience:Strong skills in TypeScript, React, and Node.js.

What's in it for You?

Join an ambitious tech company reshaping the way people build digital experiences Full-time employees receive Stock Options for the opportunity to share in the success of our company Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss, education days, and volunteer days Company paid parental leave to care for and focus on your growing family Use your personal annual education budget to improve your skills and grow in your career Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties An annual wellbeing stipend to care for your physical, financial, or emotional health A monthly communication stipend and phone hardware upgrade reimbursement New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

#LI-SB1 #LI-Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.