AI Engineer
At a glance
Mid-level AI Engineering role at TechBiz Global GmbH. Vilnius · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Keep Kafka, AWS and LLM-based systems running well, improving their performance and reliability
- Track data pipelines and resolve issues that disrupt data movement or system performance
- Bring AI models into production with other teams and improve LLM features for text analysis and customer interactions
- Build Python applications and scripts for AI and data workflows, plus new AI features for the platform
- Make AWS solutions scalable, secure and cost-conscious, and strengthen availability in Kafka streaming systems
What you bring
- At least three years in AI engineering, data engineering or a comparable role
- A bachelor's or master's degree in computer science, engineering or a related discipline
- Strong Apache Kafka skills, hands-on AWS experience and advanced Python proficiency
- Practical experience with LLMs and NLP frameworks such as Hugging Face, TensorFlow or PyTorch
Who this fits
This mid-level role suits an AI engineer who has worked across streaming data, cloud services, Python and language-model features. The position is hybrid in Vilnius, Lithuania.
From the employer
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.
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.