AI Product Developer

2 days ago


Vellore, Tamil Nadu, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Product Developer

We are seeking a highly skilled AI developer to join our team. This role is perfect for a candidate who excels in building and iterating quickly, embracing a fail-fast approach to bring innovative AI solutions to market rapidly.

The Digital Innovation Team creates products and solutions relevant for enterprises, discovering innovations and contextualizing them within a specific industry. We explore, develop, and test Cloud-based Digital AI solutions, deploying them at scale and ensuring sustainability for target business impacts.

In this role, you will design, develop, and deploy SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral. You will ensure secure, scalable, and high-performance architecture while adapting, iterating, and delivering in fast-paced environments.

This is a unique opportunity to work in a startup-like environment with the stability of a larger organization. You will collaborate closely with product management and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.

Key Responsibilities:
  • Design, develop, and deploy SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral.
  • SUPPORT PRODUCT LIFECYCLE, from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs.
  • BUILD SECURE, SCALABLE, AND EFFICIENT SaaS products that embody robust data management and comply with security and governance standards.
  • Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.
  • FINE-TUNE AI MODELS using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
  • ARCHITECT AI DEPLOYMENT STRATEGIES using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability.
  • APPLY RETRIEVAL-AUGMENTED GENERATION TECHNIQUES to build AI models that provide contextually accurate and relevant outputs.
  • BUILD THE INTEGRATION OF APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
  • MULTI-MONITOR PRODUCT PERFORMANCE post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.


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