AI Engineer, Multimodal LLMs

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

Your Role

As an AI Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You’ll work directly with software engineers, deep learning experts and AI researchers to design intelligent agents that understand, take action, and deliver real business impact.

This role requires a mix of software development, AI integration, and problem-solving skills, with the ability to customize, optimize, and scale AI models for real-world enterprise applications. If you're passionate about LLMs, conversational AI, and solving last-mile AI adoption challenges, this role is for you.

You will:

• Build, deploy, and optimize AI agents that engage in enterprise-grade conversations.
• Design & develop next-gen multimodal LLM architectures (LLMs, speech, vision, reinforcement learning)
• Explore optimal trade-offs between model quality and efficiency when translating research into practical solutions
• Refine training paradigms for real-world applications
• Integrate AI agents with enterprise systems via APIs, databases, and automation tools.
• Experiment rapidly to improve AI-driven interactions, response quality, and automation capabilities.
• Collaborate with cross-functional teams (engineering, research, and product) to shape Eloquent AI’s roadmap.
• Monitor and improve agents’ performance via user simulations and evaluations.

Requirements

• 3+ years of experience in software development, AI engineering, or NLP in a production environment.
• Strong proficiency in Python, with experience in frameworks like PyTorch and TensorFlow.
• Experience working with LLMs or large computer vision models, or generative AI models, including fine-tuning and inference optimization.
• Familiarity with APIs, cloud infrastructure (AWS, GCP, or Azure), and enterprise integrations.
• Ability to prototype, experiment, and iterate quickly to improve AI agents.
• Strong problem-solving skills and the ability to work closely with customers to refine AI solutions.
• Solid mathematical foundation of machine learning and deep learning techniques.
• Experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs.
• Published AI research in top tier AI conferences like NeurIPS, ACL, SIGIR, ICML, and ICLR.
• Contributed to open-source NLP projects.
• Worked in a fast-paced startup environment and thrive in rapid iteration cycles.