
Expert Large Language Model Developer
2 days ago
We are seeking a highly driven and passionate individual to join our innovation team, focused on building SaaS products in a startup-like environment. As an agile AI Engineer, you will be responsible for designing, developing, and deploying SaaS products using advanced Large Language Models (LLMs) like Meta, Azure OpenAI, Claude, and Mistral.
The role involves leading the design, development, and deployment of SaaS products leveraging LLMs, supporting product lifecycle from conceptualization to deployment, and ensuring seamless integration of AI models with business requirements and user needs.
Key Responsibilities:
- Design, develop, and deploy SaaS products using LLMs like Meta, Azure OpenAI, Claude, and Mistral.
- Support product lifecycle, ensuring integration of AI models with business requirements and user needs.
- Build secure, scalable, and efficient SaaS products with robust data management and compliance with security and governance standards.
- Collaborate closely with product management and 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 like 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.
- Integrate 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.
Required Skills and Qualifications:
- 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 like 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 like 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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