Staff AI Engineer
About us:Foodsmart is the leading telenutrition and foodcare solution, backed by a robust network of Registered Dietitians. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver long-term health outcomes. Through our highly personalized, digital platform, we guide our 2.2 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.
Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food.In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment will help us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.
At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:
Measured: We make data-driven, truth-seeking decisions.Impactful: We are fueled by achieving our mission and vision.Collaborative: We help each other be better and create a positive environment.Hungry: We maintain a healthy growth mindset, seeking to overcome challenges with courage.Joyful: We take joy in each other, our work, and the privilege of doing this work.
Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.
About the role:The AI Engineering team at Foodsmart is reimagining how AI can improve access to personalized nutrition and care. From conversational chatbots and intelligent scheduling systems to predictive modeling for no-show prevention and behavioral segmentation, we power scalable experiences across our platform. The Staff AI Engineer will lead the design and delivery of complex, cross-functional AI systems that support marketing, care operations, and member engagement. You’ll collaborate with product and data teams, mentor engineers, and drive architectural decisions that enable our AI systems to perform reliably at scale. We're looking for a technical leader who’s eager to build innovative solutions, guide others, and align our AI strategy with real-world impact.
You will
- Lead the design of complex AI systems spanning personalization, conversational AI, and predictive modeling
- Architect scalable pipelines for real-time use cases like no-show risk scoring, call center automation, and personalized marketing
- Fine-tune foundation models and guide strategy for chatbot, scheduling, and support automation
- Mentor engineers on ML best practices, code quality, and deployment strategies
- Collaborate with product and engineering leaders to define AI roadmaps aligned to company prioritie
You are:
- A technical leader who thrives in ambiguity and brings clarity through architecture and execution
- Able to bridge the gap between research-grade models and real-world deployment
- Experienced in balancing technical rigor with business priorities
- Committed to responsible AI and monitoring model impact in production
- An effective communicator and mentor who can elevate teammates
You have:
- 5+ years in AI/ML engineering, with at least 1–2 years in a leadership or staff-level role
- Hands-on experience building AI systems in domains like NLP, forecasting, or engagement optimization
- Proven ability to deploy and scale real-time models, pipelines, and APIs
- Deep knowledge of MLOps, orchestration (Airflow, MLflow), and distributed training
- Backend development skills (Node.js, Java, or TypeScript) and experience with data platforms (Redshift, Snowflake)
Originally posted on Himalayas
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