Software Engineer, Content AI

Nasze wymagania: 3+ years of software development experience building backend cloud application systems. BS or MS degree in Computer Science, Engineering, Mathematics, or a related technical field. Strong experience with Kotlin or Python, or similar backend programming languages. Experience with backend frameworks such as Spring Boot, Bottle, Gunicorn, or similar JVM/Python frameworks. Experience designing and building APIs using REST, gRPC, or GraphQL. Familiarity with relational and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, or MongoDB. Familiarity with AWS, Docker, Kubernetes, CI/CD, and infrastructure tooling such as Terraform, GitHub Actions, or Jenkins. Strong understanding of distributed systems, production troubleshooting, observability, security, performance optimization, and scalable backend design. O projekcie: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Software Engineer to join the Content AI team in Warsaw. This team applies AI to content-related processes, including search, voice assistant capabilities, subtitles, live captions, translations, metadata tagging, and content generation workflows. In this role, you will focus primarily on backend engineering: developing, testing, deploying, and monitoring scalable microservices that support AI-powered features. You do not need to build AI models from scratch, but you should be comfortable working with systems that host, integrate, and serve models in production. Key takeaways: Stack: Kotlin, Spring Boot, REST, gRPC, GraphQL, PostgreSQL/MySQL/DynamoDB/MongoDB, Elasticsearch, Redis, AWS, Docker, Kubernetes, Terraform, GitHub Actions, Datadog Zakres obowiązków: Develop and maintain scalable backend APIs and microservices powering search, voice, subtitles, captions, translations, and content workflows. Build services with a focus on high availability, low latency, security, scalability, and maintainability. Work with ML Engineers to integrate hosted NLP, ASR, and AI models into production backend systems. Write clean, well-tested code and contribute to reusable libraries, patterns, and engineering standards. Deploy, monitor, troubleshoot, and improve services running in distributed cloud environments. Use monitoring, tracing, profiling, and load-testing tools to identify bottlenecks and improve performance. Apply data modeling, query optimization, caching, logging, and observability practices to increase reliability. Collaborate with Product, QA, TPMs, engineering leads, and other stakeholders in sprint planning, delivery, and production support. Oferujemy: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro