Sr AI Engineer

Summary

Leads AI architecture and development of GenAI systems (LLMs, multi-agent workflows, retrieval-augmented solutions), mentors cross-functional teams, and ensures scalable, production-grade AI applications while managing administrative responsibilities for a team of associates.

Job Characteristics: Own the architecture and delivery of GenAI-based systems that integrate large language models (LLMs), multi-agent workflows, and embedding-powered retrieval solutions. Guide cross-functional pods, define engineering standards, and drive innovation through scalable, production-grade intelligent applications. You will lead a team of associates both functionally and admin responsibilites.

Education/Work Experience: Degree and 8-10 years experience.

Independence Level/Reports to: Normally reports to AI Engineering Manager.

See also

AI Engineering jobs by country — openings, pay and top skills →

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