AI Engineer, Multimodal LLMs
Hybrid (San Francisco)$150k - $250kFull-timePosted 11mo ago
About the role
AI Engineer role at Eloquent AI focused on building, deploying, and optimizing enterprise-grade AI agents (multimodal LLMs) that handle high-stakes conversations and integrate with enterprise systems.
Responsibilities
- 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.
Qualifications
- 3+ years of experience in software development, AI engineering, or NLP in a production environment.
Skills
Required:PythonPyTorchLarge language models / generative AIAPIs / cloud infrastructureProblem solving / customer collaborationML fundamentals
Nice to have:TensorFlow
Last updated Aug 26, 2026. Interested? Apply on the company site.

About Eloquent AI
The AI Operator for Financial Services
We automate complex, regulated operations in financial services—no APIs, no engineering required. We hit $500K ARR in just four weeks because customers deploy instantly. Our AI Operator learns by observing existing workflows and SOPs, securely controlling browser and desktop applications to automate up to 96% of tasks.
fintechb2benterpriseai
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