AI Engineer & Cloud-Native Developer - Remote

Overview

An overview paragraph about the job

In Short

• Design and develop cloud-native applications with a focus on Generative AI and Machine Learning.
• Build and deploy AI models using cloud-based services on AWS, Azure, or Google Cloud Platform (GCP).
• Modernize legacy applications, ensuring they are cloud-optimized and AI-integrated.
• Implement and maintain CI/CD pipelines, observability, and security best practices for AI-driven applications.
• Develop and optimize distributed systems and ML pipelines for large-scale data processing.
• Collaborate with clients, product managers, and engineering teams to define AI-driven solutions.
• Ensure robust security, compliance, and governance in AI deployments.
• Work in cross-functional teams, providing technical guidance and driving AI adoption.
• Stay updated with emerging AI/ML trends, cloud technologies, and DevSecOps advancements.

Requirements

• Degree in Computer Science, Business Informatics, or an equivalent qualification.
• Practical experience working with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Generative AI and Machine Learning technologies.
• Strong programming skills in Python or Java, with experience using frameworks like FastAPI, Spring, and Quarkus.
• Proficiency in Machine Learning frameworks such as PyTorch, LangChain, LlamaIndex, and Weaviate Vector DB.
• Experience with DevSecOps, CI/CD pipelines, and security tools, including GitHub Actions, GitLab, Jenkins, Kubeflow, Airflow, MLflow, Prometheus, Grafana, and NeuVector.
• Knowledge of cloud-native architectures and distributed systems.
• Understanding of AI model deployment and lifecycle management.
• Strong communication and consulting skills, with the ability to engage with both technical and non-technical stakeholders.
• Ability to work in multicultural, international teams and collaborate effectively in distributed environments.
• Fluent in German and English (written and spoken).

Benefits

• Learning opportunities with compensated certificates, learning lunches, and language lessons.
• Chance to switch projects after one year.
• Team building twice a year and victory celebration compensation every quarter.
• Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.
• Remote work opportunities.
• Flexible time off depending on a project.
• Seasonal activities with colleagues (from walking challenges to wakeboarding).
• Health insurance for Lithuanian residents.
• Referral bonuses.
• Loyalty days.
• Recognition of important occasions of your life.