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

Lead AI Engineer

Job Description

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