AI Engineer

Role Overview

• Design, develop, and deploy AI-powered solutions that support industrial automation, smart manufacturing, and digital transformation initiatives.
• Develop and deploy GenAI applications (chatbots, copilots, RAG systems) using Azure OpenAI and LLMs.
• Build and maintain AI services and APIs on Microsoft Azure.
• Design scalable data pipelines for training and inference workflows.
• Implement and deploy ML models for predictive analytics, anomaly detection, and automation use cases.
• Containerize and deploy AI solutions using Docker and cloud services (AKS, Azure Functions).
• Build and manage vector databases and retrieval systems for enterprise/industrial data.
• Ensure monitoring, versioning, and lifecycle management of AI models (MLOps).
• Collaborate with cross-functional teams to integrate AI into industrial and enterprise systems.
• Stay updated with emerging AI/ML trends, cloud technologies, and DevSecOps advancements.

Requirements

• Degree in Artificial Intelligence (prefered).
• Practical experience working with cloud platforms (Azure).
• Hands-on experience with Generative AI and Machine Learning technologies.
• Strong programming skills in Python.
• Proficiency in Machine Learning frameworks such as Langchain, Langgraph and Llamaindex.
• Development of Advanced RAG systems.
• Development of MCP / A2A protocol.
• Evaluation, observability and tracing of LLM apps.
• Preferred experience with DevSecOps, CI/CD pipelines, Docker, Kubernetes and security tools, such as: 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 English.
• Preferred Certifications: Azure AI Engineer Associate, Azure Administrator Associate Certified Kubernetes Developer, NVIDIA-Certified Associate.
• Willingness and readiness to travel as required by project or client needs is expected.

Tech Stack

• Airflow
• Azure
• Cloud
• Distributed Systems
• Docker
• Grafana
• Jenkins
• Kubernetes
• Prometheus
• Python

Benefits

• Learning opportunities with compensated certificates, learning lunches, and language lessons.
• Chance to switch projects after one year.
• Team building twice a year.
• 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.
• Additional health insurance and loyalty days for Lithuanian residents.
• Referral bonuses.
• Recognition of important occasions of your life.