Senior AI Engineer

• Develop and roll out scalable AI/ML models and GenAI solutions within production settings

• Architect and maintain reliable ETL pipelines along with broader data workflows

• Build LLM-powered applications leveraging current-generation frameworks

• Utilize prompt engineering methods to enhance the quality of AI-generated results

• Launch models through APIs and connect them with enterprise-level systems

• Take full accountability across the process, spanning development, rollout, monitoring, and fine-tuning

• Work closely with teams across various functions to produce AI solutions that meet business needs

Requirements

• Between 5 and 8 years of overall IT background

• More than 5 years specifically dedicated to AI Engineering

• Solid programming capability in Python

• Direct, practical experience with ETL processes and data pipeline construction

• Background working with ML/DL frameworks, including TensorFlow, PyTorch, and Scikit-learn

• Experience applying prompt engineering techniques and working hands-on with LLMs

• Familiarity with LLM-oriented frameworks such as LangChain, LlamaIndex, and Hugging Face

• Practical exposure to cloud environments, including Azure, AWS, or GCP

• Background using MLOps tooling, such as MLflow, Kubeflow, and Airflow

• Strong track record in API development and deploying models into live use

  • English proficiency at a minimum B2 (Upper-Intermediate) level to support effective communication