PlayHT is at the forefront of generative voice and conversational LLMs. With our Speech Synthesis and Voice Cloning models, we are building the SOTA conversational AI products.
We are building a platform and infrastructure for Conversational AI Voice Agents so that every business, developer, or tinkerer can easily build talking human-like AI agents and use them to serve their customers; this will unlock massive value for the world and a lot of happiness for people using these delightful agents.
We joined YC last year in the YC W23 batch. Since then, we have raised $8m in seed funding and seen significant growth in users and revenue (20x the last two years).
We're looking for an AI Engineer who is passionate about solving challenging problems and inventing the future of how people interact with LLMs. By joining our conversational agents team, you have the opportunity to be a founding engineer and play a pivotal role in shaping the future of Conversational AI.
Develop sophisticated prompting strategies to make the best use of 3rd-party LLMs via API.
Explore the latest techniques with RAG, Context Expansion, and Function Calling .
Create and curate large datasets, both from publicly-available sources and from Play's platform data.
Finetune and deploy open source LLMs to adapt them for a specific task or purpose.
A very experienced Python, Nodejs engineer.
Experience with creating novel prompting and RAG techniques to improve LLM performance.
Someone who has a minimum of 5 years of experience in AI
Experience working with and fine-tuning Large Language Models (LLMs)
Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, etc.
Experienced in building data infrastructure that is both scalable and extensible
Self-directed and comfortable working autonomously
A pivotal role in a rapidly growing startup at the forefront of conversational AI technology.
The opportunity to solve challenging problems and innovate in uncharted territories.
A culture that values technical excellence, continuous learning, and collaboration.
Competitive compensation, including equity, reflecting your experience and contribution to the success of the company.
Flexible working hours.
Comprehensive benefits package, including health, dental, and vision insurance; commuter benefits; flexible PTO; and holidays.
Final offer amounts are determined by multiple factors, including but not limited to experience and skill level, and may vary from the amounts listed above.
