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TechBiz Global GmbH · Posted 12mo ago

AI Engineer

HybridMid-level
Location
🇱🇹 Vilnius, Lithuania
Contract
Full-time
Role
ML engineering
Source
Employer’s own job board (Recruitee)

Stack

  • Kafka
  • S3
  • PyTorch
  • TensorFlow
  • SageMaker
  • Hugging Face
  • LLM
  • Python
  • Scala
  • Java
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • CI/CD

The posting

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.