Artificial Intelligence 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:

💥 Impactful:

🙏 Collaborative:

📈 Hungry:

😊 Joyful:

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.

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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 Senior 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.

You are:

• 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.

You have:

• 2-5+ years of professional software engineering experience
• 1+ years of backend development with TypeScript and Node.js
• 1+ 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