
Innovative AI Developer
3 days ago
We are seeking a skilled AI Software Engineer to join our innovation team. As an AI Software Engineer, you will design, develop, and deploy SaaS products using advanced Large Language Models (LLMs).
Key Responsibilities:
- Design and develop secure, scalable, and high-performance architecture for SaaS products.
- Lead the development of SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral.
- 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, and knowledge of cost-optimized AI deployment and cloud infrastructure.
Preferred Qualifications:
- Master's degree or Ph.D. in a relevant field.
- Prior experience with SaaS product development and deployment.
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