Staff Software Engineer, AI/ML

Maven Clinic is hiring a Staff Software Engineer, AI/ML to build and deploy AI-powered product experiences and ML platforms using healthcare data. The role partners across product, data, and engineering to improve care journeys, productionize AI features, guide technical decisions, and mentor engineers and data scientists.

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: wellness partnerships.
• For Maven Clinic Co., US-based, full-time employees only: hybrid work, in-office meals, and work together days. For New York City office employees, onsite three days a week (Tuesday, Wednesday, Thursday); for employees based in Boston, DC, Chicago, Seattle, and San Francisco, monthly Work Together Days within those cities.
• For Maven Clinic Co., US-based, full-time employees who have been with Maven for 1 year or more: 16 weeks of 100% paid parental leave and a new parent stipend.
• For Maven Clinic Co., US-based, full-time employees: 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

• Tech career marketplace connecting professionals with recruiters
• Centennial, Colorado, USA
• https://www.or-quest.nl/
• Founded in 1990
• 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)
• 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

• Artificial Intelligence, Backend Development, Feature Engineering, Google Vertex AI, LangChain, Machine Learning, OpenAI, Python, Retrieval-Augmented Generation (RAG), Vector Search

Experience

• 8+ years