
Staff AI Developer
1 day ago
We strive to make healthy food choices accessible and affordable for everyone, regardless of economic status.
Our platform fosters healthier food options, drives lasting behavior change, and delivers long-term health outcomes through personalized guidance.
We guide our 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.
We partner with national and regional retailers across the U.S., making healthier food more accessible. We assist members with SNAP enrollment and management, providing tangible access to nutritious food. In expanding our reach, we focus particularly on low-income workers who are disproportionately affected by diet-related diseases.
Our mission is to provide sustainable solutions that promote healthy eating habits.
We're passionate, supportive, and driven by a shared purpose. Whether you're a technologist or engineer, working with us means being part of a team that transforms the way people access and enjoy healthy food.
| About the Role:
The AI Engineering team is central to 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 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.
- 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 where appropriate.
- Collaborate with cross-functional teams 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.
| 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.
| What You'll Bring:
- 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
- Strong proficiency with SQL and experience using PostgreSQL or MySQL
- Familiarity with cloud platforms 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
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