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Known global vendor, remote option, mid-level ML role, and metro location increase applicant competition.
Conversational AI and agentic AI specialization reduce transferability compared to generic ML engineering roles.
Explicit 5+ years requirement, mandatory AI/ML production experience and stack expectations create strict filters.
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Lead the design, development, and evolution of large-scale conversational AI and virtual agent systems targeting over 7,500 organizations globally.
Drive technical initiatives and collaborate cross-functionally to translate AI research into scalable production solutions advancing the roadmap to Agentic AI.
Own proof-of-concept projects pushing conversational AI capabilities and oversee technical standards through team delegation and reviews.
5+ years of software engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce experience requirement).
Proven expertise delivering production systems in conversational AI, NLP, and dialogue systems.
Strong software engineering fundamentals including system design, algorithms, data structures, and software architecture.
Degree in Computer Science, Software Engineering, Data Science, or related field is preferred but not mandatory.
Experienced in building and scaling production conversational AI and virtual agent technologies integrating research and software engineering.
Comfortable leading complex technical projects and collaborating with product teams, customers, and vendors to deliver AI-driven business solutions.
Familiar with advanced AI topics such as Large Language Models, multi-agent systems, and scalable AI architectures is a plus but not mandatory.