SaaS Product Developer

2 days ago

Mysore, Karnataka, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

As an AI Engineering Specialist, you will be responsible for building innovative SaaS products that leverage Large Language Models (LLMs). Your role will involve designing, developing, and deploying scalable and secure SaaS solutions that integrate with cloud-based services.

The ideal candidate will have a strong background in AI engineering, machine learning algorithms, and deep learning architectures. They will also possess excellent communication and collaboration skills, with the ability to work cross-functionally to drive SaaS product success.

  • Design and develop SaaS products using LLMs including Meta, Azure OpenAI, Claude, and Mistral.
  • Support the 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 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.
  • Integrate APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
  • Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.
  • Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development.

Required Skills:

  • Strong background in AI engineering, machine learning algorithms, and deep learning architectures.
  • Experience with LLMs and SaaS platforms.
  • Hands-on experience with cloud-agnostic platforms AWS, Azure, Google Cloud.
  • Proven ability to build secure, scalable, and compliant SaaS solutions integrating AI with cloud-based services.
  • 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 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 to drive SaaS product success.
  • Knowledge of cost-optimized AI deployment and cloud infrastructure focusing on scalability and performance.

Benefits:

  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic team environment.
  • Continuous learning and professional growth opportunities.

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