You will
- Lead the design and implementation of high-performance, scalable backend systems and application using TypeScript, Node.js, and relational databases such as PostgreSQL or MySQL
- Architect robust APIs and services that integrate seamlessly with AI/ML models and serve real-time or batch use cases
- Drive the adaptation and fine-tuning of off-the-shelf models (e.g., LLMs, classification models) for business-critical domain tasks in areas like healthcare, finance, or customer support
- Collaborate cross-functionally with ML engineers, product managers, and infrastructure teams to deliver end-to-end ML applications
- Own backend and MLOps architecture decisions to ensure long-term scalability, performance, and maintainability
- Set engineering standards, code quality expectations, and best practices for integrating ML models into production
- Mentor other backend and ML engineers, promoting growth and technical excellence across the team
- Evaluate and recommend technologies that support the AI platform’s evolution
You are:
- A technical leader with strong software engineering foundations and a track record of owning large-scale backend systems
- Adept at balancing hands-on coding with technical strategy, architectural design, and system-level thinking
- Experienced in backend development using Node.js, TypeScript, and SQL-based RDBMS
- Deeply familiar with deploying and adapting AI/ML models to production, especially fine-tuning foundation models for specific use cases
- Able to effectively communicate technical trade-offs with stakeholders and guide cross-functional alignment
- Committed to building resilient, observable, and secure systems in production environments
- Passionate about unlocking the value of machine learning in real-world applications, not just experimentation
You have:
- 7+ years of professional software engineering experience, with 2+ years in a staff or principal engineering role
- 3+ years of backend development experience using TypeScript and Node.js, with demonstrated ownership of production services
- 1+ years of experience applying machine learning or AI models, including fine-tuning pre-trained models (e.g., Hugging Face, OpenAI, or similar)
- Proficient in SQL, with hands-on experience using RDBMS like PostgreSQL or MySQL
- Experience designing, deploying, and scaling APIs and ML-backed services in cloud-native environments (AWS/GCP)
- Familiarity with MLOps practices, containerization (Docker), and orchestration tools (Kubernetes, Airflow, MLflow)
- A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
Top Skills
What We Do
Foodsmart is the leading telenutrition and foodcare solution, backed by a robust network of registered dietitians. We’re redefining health through Foodcare—connecting nutrition, food access, and medicine to make healthy eating accessible for all.
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 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a personalized journey to eating well while saving time and money.
Why Work With Us
Our mission is big, our culture is personal—we’re a collaborative, joyful, hungry team tackling chronic disease together and growing with passionate colleagues. Join us to do meaningful work that reduces food insecurity and improves health, all while shaping a mission-driven, inclusive culture.
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