Creative AI Solutions Developer

1 day ago

Gandhinagar, Gujarat, India beBeeArtificial Full time ₹ 2,13,00,000 - ₹ 2,59,25,000
Job Title: AI Engineer

We are seeking a skilled and experienced AI engineer to join our team. As an AI engineer, you will play a key role in designing, developing, and deploying SaaS products leveraging Large Language Models (LLMs), including platforms like Meta, Azure OpenAI, Claude, and Mistral.

Your primary responsibilities will include:

  • Designing and developing scalable and efficient SaaS products that integrate AI models with business requirements and user needs.
  • Fine-tuning AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
  • Architecting AI deployment strategies using cloud-agnostic platforms, ensuring cost optimization while maintaining performance and scalability.
  • Applying retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs.
  • Building the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
  • Monitoring product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.

To be successful in this role, you will need to have:

  • A 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 and SaaS platforms.
  • 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, 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.

We offer a dynamic and supportive work environment, opportunities for growth and professional development, and a competitive compensation package. If you are passionate about AI and SaaS, and have the skills and experience to succeed in this role, we encourage you to apply.

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