AI ENGINEER

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

ABOUT THE COMPANY

LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.

ABOUT THE CLIENT

Our client is a global industrial technology company specializing in automation, sensors, machine vision, industrial networking, and digital manufacturing solutions. Serving industries such as automotive, electronics, logistics, food & beverage, and industrial machinery, the company has a strong presence across Europe, the Americas, and Asia.

As part of its digital transformation strategy, the organization is investing in cloud-native platforms, Industrial IoT, data analytics, and AI to drive intelligent manufacturing, predictive maintenance, and data-driven operations through scalable cloud and AI-powered solutions.

ABOUT THE ROLE

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.

REQUIREMENTS

Education & Experience:

• Degree in Artificial Intelligence (prefered).

• Practical experience working with cloud platforms (Azure).

• Hands-on experience with Generative AI and Machine Learning technologies.

Technical Skills:

• 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.

• Willingness and readiness to travel as required by project or client needs is expected. This may include occasional domestic or international travel, sometimes on short notice.

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

WHAT WE OFFER

• 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.