Innovative AI Backend Engineer

2 days ago

Kota, Rajasthan, India beBeeBackend Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About Us

We're a leading solution provider in the field of personalized nutrition and care.

Our mission is to make nutritious food accessible and affordable for everyone.

We partner with national retailers across the U.S., making healthier food more accessible. We assist members with SNAP enrollment and management, providing tangible access to nutritious food.

About the Role

The AI Engineering team transforms how people access personalized nutrition and care.

  • You will design and deploy scalable solutions using Node.js and relational databases like PostgreSQL or MySQL.
  • You will build and maintain APIs and microservices that enable real-time and batch inference of AI/ML models.
  • You will fine-tune and adapt pre-trained models for specific business use cases.
  • You will integrate external AI services where appropriate.
  • You will collaborate with cross-functional teams to deliver end-to-end AI-powered features.
  • You will contribute to MLOps workflows, including deployment, versioning, and monitoring of models in production.
Required Skills and Qualifications

You are a strong backend engineer with experience building robust systems and a passion for applied AI.

You are proficient in Node.js, TypeScript, and SQL, with experience delivering production-grade services.

You have 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, and strong proficiency with SQL and experience using PostgreSQL or MySQL.

Benefits

We guide 2.2 million members on a tailored journey to eating well while saving time and money through our personalized digital platform.

We optimize ingredients both at home and on the go by seamlessly integrating dietary assessments, nutrition counseling, online food ordering, and cost-effective meal planning.

We follow engineering best practices for clean code, testing, observability, and reliability.

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