Senior AI Engineer

Responsibilities

• Build and deploy scalable AI/ML models and GenAI solutions in production
• Design and maintain robust ETL pipelines and data workflows
• Develop LLM-based applications using modern frameworks
• Implement prompt engineering techniques for optimized AI outputs
• Deploy models via APIs and integrate with enterprise applications
• Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
• Collaborate with cross-functional teams to deliver business-driven AI solutions

Requirements

• 5-8 years of general IT experience
• 5+ years of experience in AI Engineering
• Strong programming skills in Python
• Hands-on experience with ETL and data pipelines
• Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
• Experience in prompt engineering and working with LLMs
• Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
• Cloud experience working with Azure, AWS, or GCP
• Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
• Strong experience in API development and model deployment
• English level of minimum B2 (Upper-Intermediate) for effective communication

Nice to have