AI Product Development Engineer

1 day ago

Solapur, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: AI Product Development Engineer

About the Role

We are seeking an experienced AI engineer to join our team and drive the development of innovative SaaS products using advanced Large Language Models (LLMs). This is a unique opportunity for a skilled professional to contribute to the creation of cutting-edge AI solutions that transform industries.

Responsibilities
  • Design, develop, and deploy SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral.
  • Lead 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 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 (RAG) 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.
  • Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.
Requirements
  • 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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