Expert AI Solutions Developer

2 weeks ago

Ellore, Andhra Pradesh, India beBeeArtificial Full time US$ 1,50,000 - US$ 1,70,000

About Foodsmart:

Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver long-term health outcomes.

We guide our members on a tailored journey to eating well while saving time and money through highly personalized, digital platform. 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.

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, and Joyful.

We're passionate, supportive, and driven by a shared purpose. Whether you're a dietitian, commercial leader, or technologist, working at Foodsmart means being part of a team that transforms the way people access and enjoy healthy food.

Job Description:

The AI Engineering team at Foodsmart is transforming how millions of people access personalized nutrition and care. As a Staff AI Engineer, you will play a critical role in designing and deploying solutions that drive real-world impact.

Key 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.

Requirements:

  • 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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