AI Model Architect
2 weeks ago
We are seeking an experienced AI Engineer to lead the development and integration of advanced language models.
- Evaluate and integrate closed-source LLM APIs, as well as deploy open-source LLMs in production environments.
- Determine when to use hosted APIs versus self-managed models for cost, scalability, and performance considerations.
The ideal candidate has hands-on experience working with both closed-source and open-source LLMs, and understands how to architect, train, and fine-tune these models to meet diverse business needs.
- Academic Background: Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (or equivalent experience).
- LLM Experience: Proven experience with closed-source LLMs (e.g., ChatGPT) and open-source alternatives (e.g., Llama, DeepSeek).
- Agentic Systems: Familiarity with Goose-like frameworks or other solutions enabling multi-step model interactions.
- Training & Fine-Tuning: Understanding of standard ML/DL frameworks (e.g., PyTorch, TensorFlow) and when to apply training vs. fine-tuning.
- Deployment & Hosting: Proficiency in cloud services (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for deploying models at scale.
The successful candidate will stay updated on cutting-edge research and best practices in the generative AI domain, and identify how new developments can be integrated into existing products.
- Stay updated on cutting-edge research and best practices in the generative AI domain, and identify how new developments can be integrated into existing products.
- Document processes, create internal knowledge repositories, and mentor junior engineers on AI/ML best practices.
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