Staff Software Engineer, AI/ML

Maven Clinic is hiring a Staff Software Engineer, AI/ML to build and deploy AI-powered product experiences and production ML systems. The role partners across product, data, and engineering to improve healthcare workflows and care journeys, while guiding technical decisions and mentoring colleagues.

Responsibilities

• Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences
• Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers
• Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance
• Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization
• Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models
• Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency
• Stay on the pulse of the evolving LLM and applied AI landscape, continuously exploring how to bring cutting-edge advancements into Maven’s platform

Benefits

• Equity
• For Maven Clinic Co. US-based, full-time employees only: employer-covered health, dental, and insurance plan options
• For Maven Clinic Co. US-based, full-time employees only: access to the full Maven platform and specialists, including care for mental health, reproductive health, family planning and pediatrics
• For Maven Clinic Co. US-based, full-time employees only: whole-self care through wellness partnerships
• For Maven Clinic Co. US-based, full-time employees only: hybrid work; New York City team members work onsite three days a week (Tuesday, Wednesday, Thursday), and team members in Boston, DC, Chicago, Seattle, and San Francisco attend monthly Work Together Days in their cities
• For Maven Clinic Co. US-based, full-time employees only: in-office meals
• For Maven Clinic Co. US-based, full-time employees only: 16 weeks of 100% paid parental leave and a new parent stipend, for employees who have been with Maven for 1 year or more
• For Maven Clinic Co. US-based, full-time employees only: annual professional development stipend and access to a personal career coach through Maven for Mavens
• For US-based employees: 401(k) matching with immediate vesting

Company

• Virtual clinic offering women’s and family health programs
• New York, New York, USA
• http://www.mavenclinic.com/
• Founded in 2014
• 201-500 employees

Qualifications

• A strong track record in either:
• Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or
• Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact
• Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar
• A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions
• Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)
• Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them
• Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows
• A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes
• Bachelor's or Master's degree in Computer Science or related field, or equivalent experience
• Minimum of 8 years of experience in backend development, platform architecture and ML/AI platform or products, with a proven track record of building highly scalable, performant, and reliable systems with modem technologies
• Minimum of 8 years of experience in backend development, platform architecture and ML/AI platform or products, with a proven track record of building highly scalable, performant, and reliable systems with modem technologies.

Required skills

• AI Agents, Backend Engineering, Cloud-Native Systems, Data Preprocessing, Feature Engineering, Foundation Models, Go, Google Vertex AI, Healthcare Data, Java, LangChain, ML Deployment, Machine Learning, Model Evaluation, OpenAI, Python, Retrieval-Augmented Generation (RAG), Vector Search

Experience

• 8+ years