Senior AI Engineer

Foodsmart
Summary
Join Foodsmart's AI Engineering team and play a critical role in designing and deploying AI-powered solutions that personalize nutrition and care for millions. As a Senior AI Engineer, you will build and deploy models for real-time personalization, fine-tune foundational models for various use cases, and develop predictive systems to enhance efficiency and engagement. You will collaborate with cross-functional teams to integrate AI into applications and monitor model performance. The ideal candidate is a builder who thrives in applying modern AI to practical challenges and is passionate about shaping the future of digital foodcare. Foodsmart offers a remote-first work environment with a competitive salary and benefits package.
Requirements
- 2+ years of experience building and deploying ML/DL models in production settings
- Strong skills in Python and ML frameworks like PyTorch, TensorFlow, or Hugging Face
- Experience with real-time personalization, segmentation, or behavioral modeling
- Familiarity with MLOps practices and tools like MLflow, Airflow, or SageMaker Pipelines
Responsibilities
- Build and deploy models that power real-time personalization, such as dynamic marketing segmentation and smart outreach throttling
- Fine-tune foundational models (e.g., Hugging Face, OpenAI) to deliver use cases like chatbots, eligibility screening, and appointment scheduling
- Develop predictive systems (e.g., no-show risk models) to enhance operational efficiency and engagement
- Collaborate with product, engineering, and data teams to integrate AI into backend APIs and member-facing applications
- Monitor and iterate on model performance, data integrity, and user impact in production environments
Preferred Qualifications
Experience integrating models into backend systems using Node.js , TypeScript, or Java
Benefits
- Remote-First Company
- Unlimited PTO
- Flexible & remote location
- Healthcare Coverage (Medical, Dental, Vision)
- 401k, bonus, & stock options
- Registered Dietitian Sessions
- Wellness reimbursement