Gen AI Engineering Manager
About The Position
Oversee the design, development, and deployment of Digital workflows using GenAI LLM models and applications. Define and drive the product roadmap for Gen AI capabilities within a wearable voice platform, from intent recognition to real-time AI agent orchestration. Design AI behaviors that can reason, recall, and act autonomously in response to multi-turn, real-world voice interactions. Architect and implement end-to-end generative AI pipelines—covering speech-to-text (ASR), LLM-based reasoning, retrieval-augmented generation (RAG), and text-to-speech (TTS). Lead the development of context-aware, multimodal AI agents capable of real-time voice interaction, memory retention, and adaptive decision-making. Enable intelligent agent orchestration across devices and environments. Collaborate with cross-functional teams (product, design, data science) to define project scopes and deliverables. Drive end-to-end project execution, from research exploration, cost and LLM model selection.
Requirements
- Bachelor’s or Master's degree in Computer Science or a related field.
- At least 7+ years of experience in AI/ML, with at least 2 years in a leadership or managerial role.
- Experience managing teams in software development environment
- Excellent communication skills both written and verbal
- Strong analytical and problem-solving abilities
- Proven track record of success working in complex environments
Responsibilities
- Oversee the design, development, and deployment of Digital workflows using GenAI LLM models and applications.
- Define and drive the product roadmap for Gen AI capabilities within a wearable voice platform, from intent recognition to real-time AI agent orchestration.
- Design AI behaviors that can reason, recall, and act autonomously in response to multi-turn, real-world voice interactions.
- Architect and implement end-to-end generative AI pipelines—covering speech-to-text (ASR), LLM-based reasoning, retrieval-augmented generation (RAG), and text-to-speech (TTS).
- Lead the development of context-aware, multimodal AI agents capable of real-time voice interaction, memory retention, and adaptive decision-making.
- Enable intelligent agent orchestration across devices and environments.
- Collaborate with cross-functional teams (product, design, data science) to define project scopes and deliverables.
- Drive end-to-end project execution, from research exploration, cost and LLM model selection.
Benefits
- Incentive Bonus Plans
- Medical, Dental, Vision benefits
- 401K with Company Match
- 10 Paid Holidays
- Generous Paid Time Off Packages
- Employee Stock Purchase Plan
- Paid Parental & Family Leave
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What This Job Offers
Job Type
Full-time
Career Level
Manager
