SeniorStaff Software Engineer, AIML
Job Summary
What will you be doing
Design build and deploy end-to-end AI-powered solutions using models like OpenAI and modern orchestration techniques (RAG agents).
Build critical AI initiatives such as our chatbot recommendation engine and search functionalities.
Develop robust ML pipelines and platform components for model experimentation fine-tuning and deployment with a focus on scalability safety and performance.
Collaborate cross-functionally with product data and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows.
Drive architecture discussions and technical decision-making across AI/ML systems promoting best practices.
6 - 15 years of experience in a software engineering role
Experience as a full stack SWE with a strong back-end lean OR ML engineers with experience building AI/ML products end-to-end
Experience MUST spike in at least one of the following AI product areas:
- Chatbots
- Recommendation Engines
- Other Gen AI applications
Experience working end-to-end on the ML pipeline (e.g. data ingestion and structuring through analysis and training etc.)
Experience shipping a product or feature from 0 to 1.
Bachelors degree in CS or Math Physics or related engineering field.
Strong proficiency in Python for software and ML development.
Experience with LLMs RAG and agent frameworks in production.
Experience with PyTorch or TensorFlow.
Possesses a builder mindset: Excited to be part of a foundational team adaptable and actively learning as the AI landscape changes.
Track record of agency and autonomy: comfortable being accountable for delivery without heavy mentorship/support.
Must be located in San Francisco Seattle or New York City.
Required Skills:
Python LLM chatbot
Required Education:
BS in CS math or physics