Eloquent AI
Full Stack Engineer @ Eloquent AI (YC X25)

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Meet Eloquent AI (YC X25)
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.
About the role
As a Full Stack Engineer at Eloquent AI, you will lead the development of AI-powered full-stack applications while overseeing and mentoring other engineers. You’ll remain hands-on across the stack, but also take ownership of technical direction, code quality, and delivery standards.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
You’ll work closely with engineers, AI researchers, and product teams to ensure scalable, reliable systems that power real-time AI-driven workflows. This role requires strong engineering fundamentals, leadership capability, and the ability to operate effectively in a fast-paced, AI-first environment.
You will
- Design and build full-stack applications that power AI-driven workflows for enterprise users.
- Oversee and review the work of other engineers, ensuring high-quality, production-ready code.
- Provide technical guidance, architectural direction, and hands-on support where needed.
- Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation.
- Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.
- Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems.
- Establish engineering best practices across testing, deployment, and performance optimisation.
- Continuously iterate and refine AI-driven products, balancing speed with robustness.
Requirements
- 3+ years of hands-on experience building full-stack production applications.
- Bachelors degree in Computer Science (Masters degree in Computer Science would be a big plus).
- Proficiency in React, TypeScript, and Node.js.
- Backend experience using Python.
- Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
- Understanding of AI-powered applications (LLMs, chat interfaces, agentic workflows).
- Ability to work in a fast-paced, high-autonomy environment.
- Strong collaboration skills across engineering, product, and AI teams.


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Bonus Points If…
- You have experience building AI-powered applications with LLM integrations.
- You’ve worked in high-performance startups or enterprise AI environments.
- You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces.
- You have experience with GraphQL, WebSockets, or real-time data streaming.
- You’ve contributed to open-source projects or have built developer tools for AI.
What’s on offer
- Salary up to £110k.
- Meaningful early equity.
- Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team.
- A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.
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Jessica, London
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