Fullstack Software Engineer - AI Integrations (f/m/d)

About the Opportunity

Join Contentful as a Full Stack Software Engineer and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We’re looking for talented Full Stack Software Engineers who are passionate about building scalable, high-performance applications using modern technologies—and taking the lead on integrating the latest advancements in AI technology.

As a key member of our engineering team, you’ll have the unique opportunity to shape the future of content operations by leveraging and integrating AI-driven solutions. You’ll help create innovative features that transform how our customers manage, personalize, and deliver content across channels. From automating complex workflows to generating insights that fuel smarter decision-making, your work will drive efficiency and unlock new possibilities for businesses of all sizes.

If you’re excited about pushing the boundaries of AI-powered content management, working on cutting-edge AI integrations, and delivering intelligent solutions that redefine customer experiences, we’d love to have you on board. Your contributions will help us build intuitive, scalable systems that empower our customers to do more with their content, while continuously innovating and setting new standards.

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.
• 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.
• Full Stack Development: Design, develop, and maintain scalable frontend and backend features using TypeScript, React, and Node.js, while ensuring they are compatible with AI components, services, and APIs.
• 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.
• Data-Driven Development: Utilize analytics and data-driven insights to inform product decisions, and continuously improve features.
• 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

• AI and Machine Learning Experience: Demonstrable experience 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.
• Full Stack Expertise: Strong skills in TypeScript, React, and Node.js. Deep interest in clean code practices and familiarity with enterprise architectural design patterns, particularly when working with AI-powered features.
• AI Pipeline Integration: Experience in deploying AI models to production, optimizing model performance, and integrating AI services into full stack applications.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• 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 Deployment Experience: Hands-on experience with DevOps methodologies tailored for AI, including CI/CD pipelines for model deployment and MLOps practices.
• AI-Driven Automation: Previous experience working with AI automation engines, process automation using AI, or integrating AI with business logic to streamline processes.

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
• 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, education days, compassion days for loss, and volunteer days
• Time off 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 phone/internet 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.

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