Full Stack Engineer

We are looking for a Senior Full Stack JS Engineer to join the AI & Digital Platforms team at a global leader in sensor-based food sorting and resource optimization solutions. There is

This role focuses on building and scaling client’s ML-powered digital platforms used in advanced food sorting and analytics systems. You will work on software systems responsible for deployment, monitoring, and lifecycle management of machine learning models, as well as cloud-connected services and data pipelines powering modern digital products.

This role involves close collaboration with data scientists, cloud engineers, product teams, and system engineers to ensure seamless data flows, robust model operations, and reliable delivery of data-driven features.

Requirements:

Bachelor’s or Master’s degree in Computer Science or a related field

5+ years of professional experience with JavaScript/TypeScript

Strong hands-on experience with Node.js and React

Experience with GraphQL, Prisma, and PostgreSQL, or similar API and database technologies

Solid understanding of software engineering fundamentals, design patterns, and testing practices

Practical experience with CI/CD workflows and Docker

Experience working with cloud-integrated systems; exposure to Microsoft Azure

Familiarity with modern frontend technologies such as Tailwind CSS and testing frameworks like Playwright

Ability to travel internationally for occasional business trips

Strong spoken and written English

Nice to Have:

Experience with Next.js, Vue.js, or other modern frontend frameworks

Familiarity with Tailwind CSS and Playwright

Previous exposure to MLOps, ML model deployment, or monitoring systems

Experience working closely with Data Science or Platform teams

Responsibilities:

Develop and maintain software components for client’s digital platforms, supporting reliable deployment, monitoring, and lifecycle management of machine-learning models

Build and enhance data pipelines and services that process and distribute machine-generated information to digital products and cloud systems

Extend and optimize existing ML-Ops tooling, integrations, and communication interfaces to improve performance and scalability

Perform unit testing and end-to-end testing to ensure software quality, robustness, and maintainability

Investigate and resolve issues reported by data science, digital, and platform teams

Collaborate with data science, cloud engineering, machine software, and service teams to align on data flow requirements and operational needs

Provide technical support for model deployment processes and data-driven features

Contribute ideas for improving software quality, automation, and development efficiency

Produce and maintain technical documentation for platform components and operational procedures

We offer:

Vacation (up to 20 working days)

Sick leaves (10 working days)

National Holidays as time off (up to 11 days)

Medical reimbursement after 3 months

Online English courses

Flexible working schedule, remote

Direct cooperation with the customer

Communication with Top/Senior level specialists to strengthen your hard skills

Online/offline teambuildings

Volunteering culture development and support

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