We are looking for an experienced 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
