
Innovative AI Solutions Engineer
21 hours ago
We are seeking a highly skilled AI Engineering Specialist to join our team. This role is ideal for a candidate who is passionate about building and iterating quickly, embracing a fail-fast approach to bring innovative AI solutions to market rapidly.
The successful candidate will be responsible for designing, developing, and deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral, while ensuring secure, scalable, and high-performance architecture.
- Design and develop SaaS products leveraging LLMs, including platforms like 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.
- Develop secure, scalable, and efficient SaaS products embodying robust data management and complying with security and governance standards.
- Closely collaborate 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.
- Design 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 providing 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.
- 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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