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Posted Aug 22, 2025AI Engineer, Multimodal LLMs
at Eloquent AI
San Francisco, United StatesOn-site
Responsibilities
- - Monitor and improve agents’ performance via user simulations and evaluations.
Requirements
- MEET ELOQUENT AI At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision.
- Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors.
- Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.
- 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.
- - 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.
- 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. - You’ve published AI research in top tier AI conferences like: NeurIPS, ACL, SIGIR, ICML and ICLR. - You’ve contributed to open-source NLP projects. - You’ve worked in a fast-paced startup environment and thrive in rapid iteration cycles.
Experience
- REQUIREMENTS - 3+ years of
Benefits
- Bonus Points If… - You have
Additional details
- Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments.
- We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day.
- From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.