CHOCO IS ON A MISSION TO ENABLE THE GLOBAL FOOD SYSTEM TO BECOME SUSTAINABLE BY OPTIMIZING THE WAY FOOD IS SOLD, ORDERED, DISTRIBUTED, AND FINANCED. OUR AI-FOCUSED SOFTWARE CONNECTS DISTRIBUTORS WITH THEIR CUSTOMERS TO OPERATE WASTE-FREE AND EFFICIENTLY. A PROBLEM OF THIS MAGNITUDE REQUIRES A MASSIVE SCALE AND ONLY THE BEST PEOPLE WILL BE ABLE TO SOLVE IT. ARE YOU IN?

Here’s what we’re up to: https://bit.ly/4fyXonB
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No recruiters please, we have a dedicated in-house Talent team.
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We are seeking a Senior Backend Engineer ready to make a true impact.
At Choco, we went from 0 AI revenue to 100% AI revenue within 16 months. We took AI seriously, not for window dressing, but to help us achieve our vision faster and drive a significant part of our revenue. Only when AI drives a majority of revenue is it at the core of the company.
We have assembled an absolutely world-class AI team that you will be working with. We use cutting-edge technology and are an innovation driver in our industry and the broader European ecosystem.
You’ll need to be at the forefront of backend engineering, working closely with other engineers to design and implement robust AI-driven systems. Your focus will be on building scalable architectures and integrating AI functionalities while collaborating with your engineering team to ensure seamless operation and optimization of our products. Staying on top of industry advancements, you will constantly seek ways to improve, validate, and deploy robust backend systems that will enable complex AI models effectively. It’s essential to possess exceptional engineering skills, as you will be responsible for building scalable and reliable infrastructure that meets the rigorous demands of our AI initiatives.
We’re looking for someone who thrives in a fast-paced, high-execution environment—someone who can learn quickly, adapt to new technologies, take ownership and deliver impactful solutions. You will collaborate with an amazing team, working alongside peers, engineers, and other experts to help us realize our ambitious vision. If you have a passion for AI, the drive to innovate, and the engineering skills to execute at the highest level, we want to hear from you.
Our current tech stack includes AWS serverless stack, Databricks + mlflow, Kubernetes, Kafka, PostgreSQL, DynamoDB, Elastic Cloud, Node.js, and TypeScript with frameworks like NestJS.
We also use the newest models from different vendors incl. OpenAI, as well as proprietary models.

WHAT YOU’LL BE DOING:

We move fast. We commit to delivering user increments and advancing backend development weekly. Team members rotate between a variety of challenging problems. One week, you might design APIs and frameworks to support AI systems, demonstrating your conclusions in a defensible and reproducible way. Next week, you could integrate cutting-edge models, and in the third, you’ll ship the first iteration of your work directly to our users.

• Lead end-to-end development of backend systems, including API design, deployment, optimization, and monitoring.
• Collaborate closely with the data science and AI teams to integrate sophisticated AI-driven solutions into our systems.
• Carry the team through support, coaching, feedback, tooling, documentation, establishing best practices, and knowledge sharing.
• Develop innovative solutions for complex business challenges, ensuring scalability and reliability.
• Contribute to improving the developer experience by building tools and frameworks that enable faster, more efficient development.

YOUR RESPONSIBILITIES:

• User and business-centric: Understand and interpret complex business and customer challenges, translating them into actionable backend solutions.
• Design and Develop Backend Systems: Build robust backend architectures and APIs to support various applications and services, ensuring they can handle high volumes of requests and data.
• Optimize Performance: Analyze and enhance system performance by identifying bottlenecks and implementing solutions that improve response times and resource efficiency.
• Data Management: Create and maintain efficient databases, ensuring data integrity, security, and availability for AI models and analytics.
• Collaboration: Work closely with front-end developers, data scientists, product managers, and stakeholders to understand requirements and deliver features that meet customer needs.
• Testing and Quality Assurance: Implement and maintain testing frameworks to ensure code quality and system reliability, performing regular code reviews and troubleshooting issues.
• Documentation: Write clear and concise technical documentation to facilitate knowledge sharing and onboarding for team members and future contributors.
• Keep Up with Emerging Technologies: Stay informed about industry trends and technologies, incorporating relevant advancements into our systems to enhance functionality and user experience.
• Iterative Development: Lead the backend development cycle using agile methodologies. Plan initiatives, manage user stories, and provide estimates for development tasks, adapting quickly to changes based on feedback.
• Mentorship: Provide guidance and support to less experienced developers, fostering a culture of learning and collaboration within the engineering team.