Multimodal AI Engineer: Build LLM Agents

Eloquent AI, Inc.; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A cutting-edge AI company in San Francisco is seeking an experienced AI Engineer to build and optimize enterprise-grade AI agents. You will design and develop multimodal LLM architectures, work with AWS or GCP, and collaborate with diverse teams to enhance AI solutions. The ideal candidate has over 3 years of experience, strong Python skills, and a solid foundation in machine learning. This role offers the chance to impact AI adoption in real-world scenarios.

Qualifications

• 3+ years of experience in software development, AI engineering, or NLP.
• Strong proficiency in Python and frameworks like PyTorch/TensorFlow.
• Experience with LLMs or large computer vision models.
• Familiarity with APIs and cloud infrastructure.

Responsibilities

• Build, deploy, and optimize AI agents for enterprise-grade conversations.
• Design next-gen multimodal LLM architectures.
• Refine training paradigms for real-world applications.
• Collaborate with cross-functional teams to shape the roadmap.

Skills

Python programming

AI engineering

NLP (Natural Language Processing)

Problem-solving

Model optimization

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Job description

A cutting-edge AI company in San Francisco is seeking an experienced AI Engineer to build and optimize enterprise-grade AI agents. You will design and develop multimodal LLM architectures, work with AWS or GCP, and collaborate with diverse teams to enhance AI solutions. The ideal candidate has over 3 years of experience, strong Python skills, and a solid foundation in machine learning. This role offers the chance to impact AI adoption in real-world scenarios.