
AI Engineer
- Hybrid
- Vilnius, Vilniaus apskritis, Lithuania
- Engineering
Hybrid, Location: Vilnius, Lithuania
Job description
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a AI Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
Job Overview
We are seeking a talented AI Engineer to maintain and enhance our existing AI-powered solutions built on Kafka, AWS, and Large Language Models (LLMs). You will play a critical role in ensuring the reliability, scalability, and performance of our systems while contributing to the development of new features to improve our platform.
Key Responsibilities
Maintain and optimize existing AI solutions built on Kafka, AWS, and LLMs.
Monitor and troubleshoot data pipelines to ensure seamless data flow and system performance.
Collaborate with cross-functional teams to integrate AI models into production environments.
Enhance LLM-based features for natural language processing tasks such as text analysis and customer interaction automation.
Implement and maintain scalable, secure, and cost-efficient solutions on AWS.
Ensure high availability and fault tolerance of Kafka-based streaming data systems.
Develop and maintain Python-based applications and scripts to support AI and data processing workflows.
Contribute to the design and development of new AI-driven features to improve user experience.
Stay updated on the latest advancements in AI, LLMs, and cloud technologies to propose innovative solutions.
Job requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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 (e.g., EC2, S3, Lambda, SageMaker, ECS).
Experience working with Large Language Models (LLMs) and NLP frameworks (e.g., Hugging Face, TensorFlow, PyTorch).
Advanced proficiency in Python for developing AI models, data processing scripts, and automation tools.
Familiarity with other programming languages (e.g., Java, Scala) is a plus.
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
Strong problem-solving skills and ability to work in a fast-paced environment.
Excellent communication and teamwork skills.
Preferred Qualifications
Experience with real-time data processing and event-driven architectures.
Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation).
Previous work in the travel or fintech industry.
Understanding of GDPR and data privacy regulations.
What We Offer
Competitive salary and benefits package.
Opportunity to work with cutting-edge AI and cloud technologies.
Flexible remote or hybrid work environment.
Collaborative and innovative team culture.
Professional growth and development opportunities.
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