Lead AI Engineer - Remote

Overview

The Lead AI Engineer will be responsible for leading the modernization of legacy applications into modern architectures using generative AI and cloud-native technologies.

In Short

• Lead design and implementation of AI-driven workflows for code transformation.
• Evaluate and integrate Generative AI services.
• Define AI architecture for modernization platforms.
• Collaborate with DevOps and Product teams.
• Implement LLMOps pipelines for continuous model evaluation.
• Guide junior AI engineers and participate in customer workshops.
• Strong hands-on experience with Generative AI models.
• Proficiency in Python and AI/ML libraries.
• Experience with cloud-native deployment, preferably AWS.
• Experience in leading AI/ML teams.

Requirements

• Strong experience with Generative AI models and LLM fine-tuning.
• Expertise in code transformation projects.
• Proficiency in Python, PyTorch, TensorFlow.
• Familiarity with Amazon Bedrock and open-source LLM stacks.
• Solid understanding of C++ and Java.
• Experience with Docker and Kubernetes.
• Experience in modernizing legacy systems.
• Exposure to AI-powered development platforms.
• Working knowledge of DevOps pipelines.
• Experience in leading AI/ML teams.

Benefits

• Accelerated growth and continuous learning opportunities.
• Access to certifications.
• A dynamic environment with impactful work.
• Collaboration with talented professionals.
• Inclusive work culture focused on diversification.