Applied AI Engineer
May 23
Description
• Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals. • Evaluate and improve existing conversational (LLM-based) models across effectiveness, scalability, and efficiency. • Work with the product team to study user behavior and prioritize evolving requirements. • Experiment at a high velocity, conducting statistical analyses, to optimize for end user experience • Write, review and deploy code across back, front end as needed. • Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements. • Documentation of models, prompts, and processes to increase replicability and quality improvement. • Support other coding and feature development where required.
Requirements
• Practical experience and theoretical knowledge of conversational systems, with knowledge of voice and dialogue systems, information retrieval and natural language processing. • 2+ years of professional experience as a software engineer, data scientist or other related role. • Research or engineering experience evaluating and improving conversational assistant systems • Experience with LLM model deployment and maintenance, ideally in a prod environment • Strong skills in Dialogue/NLP/IR/Deep Learning approaches. • Experience working with Python • Experience structuring and running data backed experiments. • Strong written and verbal communication skills. • Experience working with Cloud infrastructure (Elastic Container Service, Terraform, Relational Data Store, etc.) • Exposure to early-stage startups, preferably B2B Saas.
Benefits
• Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment. • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions. • Options from day one, which means you will be on the ownership track right away. • Competitive salary and equity packages. • Comprehensive health coverage (medical, dental, and vision) from day 1. • Provision of anything you need to be successful - learning tools, hardware, office equipment, software. • 401k optionality for US based employees • Generous PTO, company-wide R&R shutdowns and paid leave for parents. • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred.
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