Industrial AI Engineer — GenAI & Azure ML (Remote)

LITIT; Polska; Hybrid; PLN 147,000 - 293,000; Full time

Benefits offered by this job

Remote work opportunities

Office in Vilnius

Learning certificates and lunches

Team events

Job summary

LITIT is seeking an AI Engineer to design, implement, and deploy AI-powered solutions for industrial automation and digital transformation. You will work with Azure OpenAI, ML/GenAI models, and scalable cloud infrastructure to deliver enterprise-grade AI capabilities.

You will collaborate with software engineers, data engineers, and domain experts to build end-to-end intelligent applications, leveraging both traditional ML and Generative AI with strong emphasis on Azure stack.

Qualifications

• Degree in Artificial Intelligence or related field.

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.

Skills

Python

Langchain

Langgraph

LlamaIndex

Education

Artificial Intelligence degree

Tools

Docker

Kubernetes

GitHub Actions

GitLab

Jenkins

Kubeflow

Airflow

MLflow

Prometheus

Grafana

NeuVector

Job description

LITIT is seeking an AI Engineer to design, implement, and deploy AI-powered solutions for industrial automation and digital transformation. You will work with Azure OpenAI, ML/GenAI models, and scalable cloud infrastructure to deliver enterprise-grade AI capabilities.

You will collaborate with software engineers, data engineers, and domain experts to build end-to-end intelligent applications, leveraging both traditional ML and Generative AI with strong emphasis on Azure stack.