Lead AI Engineer, Advance AI

What you'll do

• Design, build, deploy, and maintain production-grade AI/ML applications and agentic architectures.
• Translate ambiguous business problems into practical, scalable technical solutions and architectures.
• Write maintainable production-quality code using Python and frameworks like PyTorch or LangChain.
• Establish engineering practices for development, testing, deployment, observability, and documentation.
• Evaluate and select appropriate models, frameworks, and tools for enterprise AI initiatives.
• Ensure AI applications meet security, reliability, and infrastructure standards.
• Mentor engineers and provide hands-on technical leadership for AI engineering projects.
• Identify implementation risks and support the evolution of reusable AI engineering patterns.

What we're looking for

• A 4-year degree in a Quantitative discipline (Science, Tech, Engineering, Mathematics) or equivalent industry experience is required.
• An MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field is preferred.
• You must have 5+ years of hands-on software engineering experience, including building and operating production systems.
• You must have strong experience developing AI/ML applications, including LLM-powered applications, agentic systems, and intelligent automation.
• You must have strong proficiency with Python and experience with frameworks such as PyTorch, TensorFlow, LangChain, or LlamaIndex.
• You must have experience with model APIs, prompt orchestration, RAG, evaluation frameworks, and cloud ML platforms.
• You must have a strong understanding of system design, application architecture, and production deployment considerations for AI systems.
• You must have experience with version control, CI/CD, code review practices, and operational monitoring.