AI Engineer, Multimodal LLMs
Eloquent AI9 months ago
San Francisco, CA, USAMid Level / Senior
Responsibilities
- Build, deploy, and optimize AI agents for enterprise-grade conversations.
- Design and develop multimodal LLM architectures including speech and vision.
- Explore trade-offs between model quality and efficiency for practical solutions.
- Refine training paradigms for real-world applications.
- Integrate AI agents with enterprise systems via APIs and automation tools.
- Experiment to improve AI-driven interactions and response quality.
- Collaborate with cross-functional teams to shape the product roadmap.
- Monitor and enhance agents' performance through simulations and evaluations.
Requirements
- 3+ years of experience in software development, AI engineering, or NLP in production.
- Strong proficiency in Python and experience with PyTorch and TensorFlow.
- Experience with LLMs, computer vision models, or generative AI models.
- Familiarity with APIs and cloud infrastructure (AWS, GCP, or Azure).
- Ability to prototype and iterate quickly to improve AI agents.
- Strong problem-solving skills and customer collaboration experience.
- Solid mathematical foundation in machine learning and deep learning techniques.