Lead AI Engineer
target
Job Description
- 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.
- Ability to mentor engineers, contribute to technical direction, and raise the quality of engineering practices within a team.
- Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards.
- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value.