Advanced AI Solutions Developer

15 hours ago

India beBeeArtificial Full time ₹ 19,95,000 - ₹ 25,10,000
Job Title: AI Developer

A leading organization is seeking a highly skilled Artificial Intelligence (AI) Developer to design, develop, and deploy innovative SaaS products using advanced Large Language Models (LLMs).

Job Overview

The ideal candidate will have strong expertise in building scalable and efficient SaaS solutions that integrate AI with cloud-based services. This role is perfect for a developer who can leverage their knowledge of machine learning algorithms, deep learning architectures, and software development best practices to create cutting-edge AI-driven SaaS products.

Key Responsibilities
  • Develop and deploy SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral.
  • Collaborate closely with product management and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.
  • Build secure, scalable, and compliant SaaS solutions that integrate AI with cloud-based services (AWS, Azure, Google Cloud).
  • 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, ensuring cost optimization while maintaining performance and scalability.
  • Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs.
Requirements
  • Bachelor's degree or equivalent in Information Systems, Computer Science, or related fields.
  • 6+ years of experience in software development, with at least 2 years focused on AI-based SaaS products.
  • Demonstrated expertise in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features.
  • Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.
  • Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud).
  • Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.
  • Proficiency in AI engineering, including machine learning algorithms, deep learning architectures, and integrating models into SaaS environments.
  • Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization.
  • Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success.
  • Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance.

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