AI ENGINEER

Role Description

As an AI Engineer, you will design, develop, and deploy AI-powered solutions that support industrial automation, smart manufacturing, and digital transformation initiatives. The role combines Generative AI, Machine Learning, Cloud Engineering, and MLOps, with a strong focus on building scalable solutions on Microsoft Azure and integrating AI capabilities into enterprise and industrial systems.

You will work closely with software engineers, cloud architects, data engineers, product teams, and domain experts to develop intelligent applications that leverage both traditional machine learning and modern Generative AI technologies.

Responsibilities

• 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.

Qualifications

• Degree in Artificial Intelligence (preferred).
• Practical experience working with cloud platforms (Azure).
• Hands-on experience with Generative AI and Machine Learning technologies.

Requirements

• 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.

Soft Skills

• 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

Benefits

• Salary range: €3000 - €6000 (GROSS) / month.
• 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.