Lead AI Engineer

Job description

We are seeking a **Lead AI Engineer** to pioneer innovative AI and machine learning solutions, shaping the development and deployment of cutting-edge generative AI applications. This role offers the opportunity to lead the charge in creating AI-driven efficiencies and impactful business outcomes while collaborating with diverse teams across the organization. **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** - 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 **Nice to have** - Experience with RAG architectures and vector databases - Knowledge of real-time or streaming data pipelines - Exposure to scalable system design and microservices architecture - Showcase of expertise in Databricks, PySpark - Background in Cloud Data Solutions and ETL Pipelines