ashby
AI Engineer, Agent
Eloquent AI
San Francisco, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 2 days ago
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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.
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