
Digital Foodcare Innovator
5 hours ago
We're 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.
Through our personalized, digital platform, we guide members on a tailored journey to eating well while saving time and money. We seamlessly integrate 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., making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food.
We're committed to a set of core values that shape our culture and work environment:
- Measured: We make data-driven, truth-seeking decisions.
- Impactful: We achieve 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.
About the Role:
The AI Engineering team transforms how millions access personalized nutrition and care. From building conversational experiences and predictive models to optimizing personalized outreach, the team integrates intelligent systems across the member journey.
You'll design and deploy solutions driving real-world impact—like tailoring communications, improving engagement, and reducing missed appointments. You'll apply modern AI to practical challenges and shape the future of digital foodcare through scalable, thoughtful innovation.
Your Responsibilities:
- 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.
Your Qualifications:
- 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.
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