---
title: 'AI Engineer, Multimodal LLMs at Eloquent AI'
canonical: 'https://feeny.ai/job/ai-engineer-multimodal-llms-eloquent-ai-san-francisco-t63z7hp0ztt2'
type: 'job'
last_seen: '2026-09-06'
---

# AI Engineer, Multimodal LLMs at Eloquent AI

- **Company:** Eloquent AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-08-22
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/eloquentai/41c12538-9543-4a0b-a84f-034f4cb2db9a

## Job description

## 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. 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.

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.
- 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

Bonus Points If…

- You have 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.

## About Eloquent AI

## Company Overview
- **One-liner**: Eloquent AI builds autonomous AI Operators for financial services that automate complex, regulated customer operations by observing existing workflows without requiring APIs or engineering effort.
- **Entity Type**: Private (Seed stage, raised $10M seed round)
- **Headquarters**: San Francisco, California, USA (with an office in London, UK)
- **Founded**: 2025
- **Founders**: Tugce Bulut and Dr. Aldo Lipani

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Financial Services (Banking, Fintech, Insurance)
- **Target customers**: B2B, specifically regulated financial institutions including banks, fintechs, and insurance companies (Enterprise segment)
- **Mission or purpose statement**: To build the operating system for companies running in the age of AI, freeing people from repetitive work so they can spend their time on something better. The company’s tagline: *"Work should not feel like a loop."* [eloquentai.co](https://www.eloquentai.co/)

## Products & Services
- **AI Operator for Financial Services**: An autonomous AI agent that learns to navigate existing systems by observing standard operating procedures (SOPs) and human actions. It can automate up to 96% of complex, regulated customer service tasks (e.g., account unfreezing, AML/KYC checks, loan repayment adjustments, policy re-issuance, debt recovery, cash advance management) without any APIs or engineering integration. It is deployable in weeks, supports chat, voice, and email, and includes built-in compliance guardrails, an audit trail, and a proprietary LLM (Oratio) trained on financial regulations. [eloquentai.co](https://www.eloquentai.co/) [ycombinator.com](https://www.ycombinator.com/companies/eloquent-ai)
- **Evals Framework & Oratio Fin Model**: A proprietary evaluation and compliance system that uses simulators and counterfactual evaluators to rigorously test and approve modifications before deployment. The Oratio Fin model is a specialized LLM trained specifically on financial regulations to ensure auditable, compliant decision-making. [eloquentai.co](https://www.eloquentai.co/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $500K ARR achieved in just four weeks from launch; 11x ARR growth in the first year. [ycombinator.com](https://www.ycombinator.com/companies/eloquent-ai) [eloquentai.co](https://www.eloquentai.co/careers)
- **Total Funding**: $10 million seed round raised shortly after launch. [eloquentai.co](https://www.eloquentai.co/careers)
- **Notable Investors/Partners**: Y Combinator (Spring 2025 batch). Lead investors not named on the careers page, but the company is YC-backed. [ycombinator.com](https://www.ycombinator.com/companies/eloquent-ai)
- **Growth Signals**: Onboarded major banks and fintechs in under a year; demand is described as "accelerating fast." The company is actively hiring across 12 open positions in San Francisco and London. [eloquentai.co](https://www.eloquentai.co/careers)

## Competitive Advantages
- **No-Integration Deployment**: Unlike generic AI agents that require cumbersome API integrations and long development cycles, Eloquent AI learns by simply observing existing workflows (SOPs) and team actions. This allows deployment in weeks, not months, with no engineering effort required from the customer.
- **Purpose-Built for Regulated Industries**: The company is exclusively focused on financial services, with a proprietary LLM (Oratio) trained on financial regulations. This gives it a deep, defensible moat in a high-stakes, high-compliance market where generic AI models cannot operate safely.
- **Data Privacy & Security**: The platform offers private deployment in a customer’s VPC or on-premises, and explicitly states that customer data is never used to train its models. PII is encrypted in transit and at rest, with customizable redaction. [eloquentai.co](https://www.eloquentai.co/)
- **Proven Traction**: Hitting $500K ARR in four weeks and growing 11x year-over-year with major financial institutions as customers demonstrates strong product-market fit and rapid enterprise adoption.

## Strategic Focus
- **Scale the Team**: The company is in a hypergrowth phase, actively building out its engineering, product, and deployment teams across San Francisco and London to match accelerating demand.
- **Deepen Financial Services Vertical**: Continued focus on automating increasingly complex, multi-party workflows within banking, fintech, and insurance, with a strong emphasis on compliance and auditability.
- **Product Expansion**: Likely expanding the capabilities of its AI Operator to cover more use cases and integrate more deeply with existing enterprise systems, all while maintaining its no-engineering, observation-based approach.

## Why Work Here
- **High Impact**: The systems built directly automate critical, regulated operations for major financial institutions, freeing people from repetitive work. [eloquentai.co](https://www.eloquentai.co/careers)
- **Full Ownership & Autonomy**: Small team with high autonomy; engineers own what they ship end-to-end. [eloquentai.co](https://www.eloquentai.co/careers)
- **Hypergrowth Environment**: 11x ARR growth in a year, $10M seed funding, and accelerating demand. The company is at a very early stage (team size of ~5 as of YC batch), offering significant upside and influence. [eloquentai.co](https://www.eloquentai.co/careers) [ycombinator.com](https://www.ycombinator.com/companies/eloquent-ai)
- **Top-Tier Compensation**: Competitive salary and meaningful equity; the careers page specifically mentions "company offsite in Italy." [eloquentai.co](https://www.eloquentai.co/careers)
- **Work Policy**: Hybrid/On-site in San Francisco (on-site for most roles) and Remote for some roles in London. Specific roles list "On-site" (SF) or "Remote" (London). [eloquentai.co](https://www.eloquentai.co/careers) [ycombinator.com](https://www.ycombinator.com/companies/eloquent-ai/jobs)
- **Founding Team**: Led by a second-time entrepreneur (Tugce Bulut, who previously scaled Streetbees to 200 people and $80M in funding) and a Machine Learning professor (Dr. Aldo Lipani from UCL). [ycombinator.com](https://www.ycombinator.com/companies/eloquent-ai)

## Sources
1. [eloquentai.co](https://www.eloquentai.co/)
2. [eloquentai.co/careers](https://www.eloquentai.co/careers)
3. [ycombinator.com](https://www.ycombinator.com/companies/eloquent-ai)
4. [ycombinator.com](https://www.ycombinator.com/companies/eloquent-ai/jobs)
5. [linkedin.com](https://www.linkedin.com/company/eloquentai)

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