AI Engineer, Agent

About Eloquent AI

The AI Operator for Financial Services

Tech

At Eloquent AI, our proprietary Agentic OS combines reinforcement learning with deep evaluations, enabling agents to autonomously ingest domain-specific knowledge and self-correct through internal reward modeling. Our tech stack leverages **React, TypeScript, and Node.js** on the front end, paired with scalable **Python** and Go-based backend services deployed across AWS, GCP, and Azure. If you’re excited to solve complex problems at the intersection of reliable AI, compliance, and real-time enterprise systems, you’ll find impactful challenges here every day.

The role

## **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 Agent 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 customers, engineers, 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.- **Work with customers** to understand business needs, assess AI capabilities, and implement tailored solutions.- **Train and fine-tune LLMs** for improved accuracy and efficiency.- **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 and NLP 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.**Bonus Points If…**- You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs.- You have experience with frontend or backend development (React, Node.js, NestJS) to enhance AI-driven applications.- You have a background in information retrieval or recommender systems, document question answering, or agent development.- 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.