AI Engineer

LITIT

AI Engineer designing, developing, and deploying AI-powered solutions for smart manufacturing. Collaborating with teams to integrate AI capabilities into enterprise and industrial systems.

Posted 6/15/2026full-timeRemote • 🇱🇹 LithuaniaMid-LevelSenior💰 €3,000 - €6,000 per monthWebsite

Tech Stack

Tools & technologies

AirflowAzureCloudDistributed SystemsDockerGrafanaJenkinsKubernetesPrometheusPython

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-powered solutionsGenerative AIMachine LearningPythonLangchainLanggraphLlamaindexMLOpsdata pipelinespredictive analytics

Soft Skills

strong communicationconsulting skillscollaborationmulticultural teamworkengagement with stakeholders

Certifications

Azure AI Engineer AssociateAzure Administrator AssociateCertified Kubernetes DeveloperNVIDIA-Certified Associate