Lead AI Engineer

Lead 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

• 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