AI Engineer

11 months ago

Vilnius, LithuaniaMid Level

Responsibilities

Maintain and optimize AI solutions built on Apache Kafka, AWS, and large language models.
Monitor and troubleshoot data pipelines to ensure reliable data flow and system performance.
Integrate AI models into production environments with cross-functional teams.
Enhance LLM-based natural language processing features for text analysis and customer interaction automation.
Implement scalable, secure, cost-efficient, highly available, and fault-tolerant AWS and Kafka solutions.
Develop and maintain Python applications and scripts supporting AI and data-processing workflows.
Design and develop new AI-driven features to improve the user experience.
Stay current with AI, LLM, and cloud technology advancements and propose innovative solutions.

Bachelor’s or master’s degree in computer science, engineering, or a related field.
At least 3 years of experience in AI engineering, data engineering, or a similar role.
Strong proficiency with Apache Kafka for building and maintaining data-streaming pipelines.
Hands-on experience with AWS services including EC2, S3, Lambda, SageMaker, and ECS.
Experience with large language models and NLP frameworks such as Hugging Face, TensorFlow, and PyTorch.
Advanced Python proficiency for AI models, data-processing scripts, and automation tools.
Knowledge of Docker and Kubernetes.
Preferred familiarity with Java, Scala, real-time data processing, event-driven architectures, CI/CD pipelines, Terraform, and CloudFormation.
Preferred experience in the travel or fintech industry and understanding of GDPR and data privacy regulations.
Strong problem-solving, communication, teamwork, and ability to work in a fast-paced environment.

11-50 employees