Lead AI Engineer- Advanced AI

About this role

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Skills you'll use

Who can apply

• 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred.
• 6+ years of hands-on software engineering experience, including experience building and operating production systems.
• Strong experience developing AI/ML applications, including LLM-powered applications, agentic systems, applied machine learning solutions, data-intensive applications, or intelligent automation capabilities.
• Strong proficiency with Python and experience with modern AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools.
• Experience working with model APIs, prompt orchestration, agent development patterns, retrieval-augmented generation, evaluation frameworks, observability tools, cloud ML platforms, containers, or orchestration technologies.
• Strong understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation strategy, performance optimization, and production deployment considerations for AI systems.
• Experience building scalable, maintainable, and well-tested services, APIs, data pipelines, applications, or platforms.
• Experience with version control, CI/CD, code review practices, documentation, operational monitoring, and production support.
• Ability to translate ambiguous business problems into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions.
• Strong communication skills, with the ability to explain technical concepts clearly to engineers, Data Scientists, product partners, business stakeholders, and leaders.

Perks & benefits

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