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The Role
This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
If you're interested, sign up to Dex to apply.
Dex
Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
Company Overview
This company builds and licenses AI agents that automate critical customer acquisition, onboarding, and retention for major banks. They run real agentic systems in production, tackling long, high-stakes banking workflows. Backed by leading VCs, they're solving complex, real-world problems at scale.
Role Details
You'll own the infrastructure that keeps these production agents reliable. This means building the evals, feedback loops, prompt engineering, and fallbacks, alongside the human-in-the-loop logic that governs agent autonomy. This role shades between AI engineering and ML, but it's product-leaning: you'll build across the agentic and software stack, not sit in a siloed research function. It's a rare seat for an engineer who wants to ship, not just research.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Design and implement robust evaluation frameworks and feedback loops for production AI agents.
- Develop advanced prompt engineering strategies and fallback mechanisms to ensure agent reliability in high-stakes banking workflows.
- Build and refine human-in-the-loop decision logic, determining when agents act autonomously and when human intervention is required.
- Contribute to proprietary ML models (supervised and self-supervised) used by major financial institutions, applying pragmatic academic insights.
- Drive the evolution of the data strategy and contribute across the full agentic and software stack (Node/TypeScript).
Requirements
- Proven experience building and maintaining production agentic/LLM infrastructure, including evals, feedback loops, prompt engineering, and human-in-the-loop logic.
- A pragmatic ML foundation across supervised and self-supervised methods, applied to real-world problems.
- Full-stack mindset: comfortable contributing to the Node and TypeScript software stack, not just model development.
- Strong system design capabilities and adaptability, demonstrated through a technical assessment.
- You thrive in a fast-paced startup environment where data strategy is still evolving.
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Why Apply Through Dex
This is a rare role at a company building genuinely novel AI in a high-stakes domain. Dex helps you cut through the noise: sign up once, get matched to this and other unlisted roles, and receive a full brief before you even apply. Skip the cold outreach and get a direct line to the hiring team.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/359726d3-eac7-4607-8e47-8bfdf1355633
Recruitment Notice
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
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