Digital Nutrition Innovator

Foodsmart is a leading telenutrition and foodcare solution, backed by a robust network of Registered Dietitians. Our platform fosters healthier food choices, drives lasting behavior change, and delivers long-term health outcomes.

We guide our 2.2 million members on a tailored journey to eating well while saving time and money. Our platform seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family.

• We make data-driven, truth-seeking decisions.
• We are fueled by achieving our mission and vision.
• We help each other be better and create a positive environment.
• We maintain a healthy growth mindset, seeking to overcome challenges with courage.
• 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.

The AI Engineering team at Foodsmart is at the heart of transforming how millions of people access personalized nutrition and care. From building conversational experiences and predictive models to optimizing personalized outreach, the team integrates intelligent systems across the entire member journey.

The Staff AI Engineer will play a critical role in designing and deploying solutions that drive real-world impact—like tailoring communications, improving engagement, and reducing missed appointments. We're looking for someone who thrives in applying modern AI to practical challenges and who's excited to shape the future of digital foodcare through scalable, thoughtful innovation.

You will:

• Develop scalable, high-performance backend applications using TypeScript, Node.js, and relational databases like PostgreSQL or MySQL.
• Build and maintain APIs and microservices that enable real-time and batch inference of AI/ML models.
• Fine-tune and adapt pre-trained models (e.g., LLMs, classification models) for specific business use cases.
• Integrate external AI services (e.g., OpenAI, Hugging Face, Google Vertex AI) where appropriate.
• Collaborate with cross-functional teams—ML engineers, software developers, product managers, and DevOps—to deliver end-to-end AI-powered features.
• Contribute to MLOps workflows, including deployment, versioning, and monitoring of models in production.
• Follow engineering best practices for clean code, testing, observability, and reliability.
• Stay up to date with advancements in AI tooling and infrastructure to continuously improve system performance and model impact.

Key Requirements:

• A strong backend engineer with experience building robust systems and a passion for applied AI.
• Proficient in Node.js, TypeScript, and SQL, with experience delivering production-grade services.
• Familiar with deploying and integrating ML models into applications, including fine-tuning pre-trained models.
• Comfortable working across backend systems and AI pipelines.
• A team player with excellent communication and collaboration skills.
• Detail-oriented and proactive about writing secure, maintainable, and scalable code.

Desired Qualifications:

• 8+ years of professional software engineering experience
• 3+ years of backend development with TypeScript and Node.js
• 3+ years of hands-on experience deploying AI/ML models (e.g., Hugging Face, OpenAI, or similar frameworks)
• Strong proficiency with SQL and experience using PostgreSQL or MySQL
• Familiarity with cloud platforms (AWS, GCP) and CI/CD pipelines
• Exposure to MLOps tools such as Docker, Kubernetes, MLflow, or Airflow
• Bachelor's degree in Computer Science, Engineering, or a related technical field