Advanced AI Developer

2 days ago

Bharatpur, Rajasthan, India beBeeArtificialintelligence Full time ₹ 20,00,000 - ₹ 25,00,000
AI Engineer

We are seeking a skilled professional to lead the development of cutting-edge SaaS products utilizing advanced Large Language Models (LLMs).

Main Responsibilities:

  • Design and Development: Design, develop, and deploy SaaS products leveraging LLMs.
  • Product Lifecycle Management: Support product lifecycle from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs.
  • Secure and Scalable Architecture: Build secure, scalable, and efficient SaaS products that embody robust data management and comply with security and governance standards.
  • Collaboration and Communication: Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.
  • Model Tuning and Optimization: Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
  • Cloud-Agnostic Deployment: Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability.
  • API Integration: Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
  • Post-Launch Monitoring: Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.
  • Staying Current: Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development.

Required Skills and Qualifications:

  • Bachelor's degree or equivalent in Information Systems, Computer Science, or related fields.
  • 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS products.
  • Demonstrated experience 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 (e.g., CNNs, RNNs, Transformers), 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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