Lead AI Engineer

• 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

• 8-13 years of general IT experience

• 8+ years of experience in AI Engineering

• At least 1 year of relevant leadership experience

• Strong programming skills in Python

• Hands-on experience with ETL and Data Pipelines

• Expertise in ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn

• Understanding of Prompt Engineering and working with LLMs

• Familiarity with LLM frameworks like LangChain, LlamaIndex, Hugging Face

• Cloud experience with Azure, AWS, or GCP

• Proficiency in MLOps tools like MLflow, Kubeflow, Airflow

• Strong experience in API development and Model Deployment

  • B2 level of English or higher, with an emphasis on technical communication skills