Guide and mentor a team of AI Engineers, ensuring adherence to architectural best practices, coding standards, and engineering excellence.
Lead the detailed technical design and implementation of complex AI agent components, Generative AI integrations, and the underlying infrastructure.
Collaborate closely with Product Owners to refine technical requirements, estimate efforts, and ensure the timely and high-quality delivery of AI features.
Establish and enforce rigorous code review processes to ensure code quality, security, and maintainability.
Serve as the primary technical escalation point for your team, troubleshooting complex issues and guiding resolutions.
Actively coach and mentor AI Engineers, helping them grow their technical skills and understanding of agentic architectures.
Assess new tools, libraries, and frameworks that can improve your team's efficiency and capabilities.

Requirements

A Bachelor's degree in Computer Science, Technology, or a related field.
3-5+ years of hands-on experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
1+ years of hands-on expertise in developing agentic solutions, with strong knowledge of cloud services (AWS, Azure, Google Cloud) and MLOps tools (like Docker and Kubernetes).
Proven experience overseeing the technical design and implementation of complex AI agent components.
Hands-on experience designing and developing AI agents that leverage Retrieval Augmented Generation (RAG) architectures and fine-tuning techniques.
Proven expertise in managing the performance, scalability, and reliability of AI models in production.
Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Demonstrated experience conducting code reviews, leading knowledge-sharing sessions, and making critical decisions on technologies and frameworks.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningTensorFlowPyTorchscikit-learnagentic solutionscloud servicesMLOpsRetrieval Augmented Generationfine-tuning techniques

Soft Skills

mentoringcommunicationcollaborationtroubleshootingcoachingleadershipdecision-makingcode reviewknowledge sharingproblem-solving