Kopius · 11 hours ago
Applied AI Engineer
San Francisco, CA
Full-time
Hybrid
Mid Level
3+ years expValence is pioneering an AI native coaching platform for enterprise, focusing on innovative solutions for leadership development. As an Applied AI Engineer, you will develop AI-driven coaching systems and optimize them for enterprise-scale applications while ensuring ethical AI practices.
Information Technology
No H1B
Responsibilities
Architect and develop enterprise-grade conversational AI solutions for leadership coaching
Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in novel ways to advance product goals
Evaluate and improve existing conversational (LLM-based) models across dimensions of effectiveness, scalability, and efficiency
Implement, test, and deploy LLM-powered coaching agents that understand complex tasks, provide accurate and relevant responses, and adapt to diverse conversational contexts
Integrate and manage diverse data sources to enhance the knowledge and contextual understanding of our AI coaching models
Work with the product team to study user behavior and prioritize evolving product developments
Experiment at a high velocity to optimize user experience
Full stack - write, review and deploy code across back and front end as needed
Streamlining data science processes to support rapid iteration and quality improvement
Support other science and software development where required
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field)
Practical and theoretical knowledge of language systems in the areas of: conversational systems, NLP, and Information Retrieval with knowledge of relevant tools
Strong software engineering skills with a track record of developing data-driven machine learning systems or products
Proficiency in Python and relevant deep learning frameworks - both training (e.g. PyTorch, Tensorflow, JAX) and serving (e.g., Hugging Face TGI/Transformers/Adapters/outlines, vLLM)
Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and their associated ML services
Experience with Data Science tools and processes (e.g. NumPy, scikit-learn, Pandas, PySpark)
Familiarity with ML lifecycle tools like MLflow, Weights & Biases
Hands-on experience building Generative AI-powered applications, including Large Language Models
Strong analytical and problem-solving skills
Ability to communicate complex ideas and concepts effectively
Exposure to early-stage startups, preferably B2B SaaS
Benefits
Comprehensive health coverage (medical, dental, vision) from day one
Generous PTO, company-wide R&R shutdowns, and paid parental leave
Retirement plan support for US and global employees
Meaningful ownership in a venture-backed company at a growth inflection point
Top-up grants as we scale and you deliver exceptional performance
Company
Kopius
Kopius helps build customer-centric digital products, empowered by technology, data & AI.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2021-12-09Acquired
2021-10-20Series A
Leadership Team
Jim Darrin
Chief Executive Officer
Company data provided by crunchbase