AI Technology Expert

22 hours ago

Belgaum, Karnataka, India beBeeArtificial Full time ₹ 55,00,000 - ₹ 75,00,000
AI Engineer - Transforming Nutrition and Care

About Foodsmart:

Foodsmart is the leading digital nutrition and foodcare solution, backed by a robust network of Registered Dietitians. Our platform fosters healthier food choices, drives lasting behavior change, and delivers long-term health outcomes.

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. In addition, 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: We make data-driven, truth-seeking decisions.

• Impactful: We are fueled by achieving our mission and vision.

• Collaborative: We help each other be better and create a positive environment.

• Hungry: We maintain a healthy growth mindset, seeking to overcome challenges with courage.

• Joyful: We take joy in each other, our work, and the privilege of doing this work.

The Role:

The AI Engineering team at Foodsmart is at the heart of 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 entire 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.

  • 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 (e.g., OpenAI, Hugging Face, Google Vertex AI) where appropriate.
  • Collaborate with cross-functional teams—ML engineers, software developers, product managers, and DevOps—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.
  • Stay up to date with advancements in AI tooling and infrastructure to continuously improve system performance and model impact.

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