
Strategic AI Product Developer
2 days ago
We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1 product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast approach to bring innovative AI solutions to market rapidly.
The ideal candidate will design, develop, and deploy SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral, while ensuring secure, scalable, and high-performance architecture.
- Key Responsibilities:
- Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral.
- Support 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.
- Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development.
Requirements:
Qualified candidates should have a Bachelor's degree or equivalent in Information Systems, Computer Science, or related fields, and at least 6 years of experience in product development, with at least 2 years focused on AI-based SaaS products.
Strong experience with RAG model techniques, fine-tuning AI models for business-specific needs, and proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments is essential.
A solid understanding of SaaS product lifecycle management, excellent communication and collaboration skills, and knowledge of cost-optimized AI deployment and cloud infrastructure are also required.
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