Shopmonkey aims to help every shop thrive by equipping them with the tools they need to run and grow their business. This role will leverage AI and LLMs to automate key workflows and enhance the customer experience within the automotive care industry.
Requirements
- Proven experience shipping models into production (not just proof-of-concepts).
- Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.
- Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
- Cloud infrastructure experience, (e.g. GCP, AWS).
- Understanding of MLOps, including orchestration tools like Airflow or Dagster.
- Prior experience working at a high growth startup.
- Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
Responsibilities
- Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).
- Design and implement workflows and scripts for agentic conversations based on real-world data.
- Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.
- Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.
- Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
- Design evaluation agents to enhance the quality and coherence of autonomous conversations.
- Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
Other
- This is a hybrid position, with an expectation of 2-3 days per week on-site at our Morgan Hill office.
- Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.
- Conduct code reviews and have the ability to provide constructive feedback.
- 5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master’s or PhD) may offset years of experience.
- Translate complex ML workflows into digestible updates for cross-functional stakeholders.
