Applied AI Engineer at VC-backed fintech AI startup at Jack & Jill/External ATS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

01 Apr, 26

Salary

0.0

Posted On

01 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Software Engineering, LLM Solutions, RAG, Prompt Engineering, Financial Compliance, AI Features, Modular AI, Evaluation Plans, Automated Agents, Backend Systems, Trust Architectures, Agentic AI, Data Reliability, Project Ownership, Collaboration

Industry

Staffing and Recruiting

Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Applied AI Engineer Company Description: VC-backed fintech AI startup Job Description: You will develop and deploy core components of an agentic AI platform designed for the regulated financial sector. Working with senior engineers, you will implement RAG pipelines, optimize model routing, and build verifiable trust architectures. This role bridges the gap between frontier AI research and robust, audit-ready financial software solutions. Location: Remote Why this role is remarkable: Join a category-defining startup at the intersection of generative AI and high-stakes financial services. Work in a high-velocity environment backed by top-tier VCs with a focus on evaluation-driven development. Take rapid ownership of complex projects within an advanced agentic architecture and citation-first trust system. What you will do: Implement, test, and ship modular AI features including RAG pipelines and tool functionality using Python. Execute rigorous evaluation plans and maintain gold-standard datasets to ensure output reliability and correctness. Collaborate with domain experts to translate complex financial compliance workflows into intelligent automated agents. The ideal candidate: 1-4 years of professional software engineering experience with mastery of Python and backend systems. At least 2 years of experience implementing LLM solutions, RAG, and systematic prompt engineering. High growth mindset with the ability to navigate a fast-paced, regulated environment and assume full project ownership. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

You will develop and deploy core components of an agentic AI platform for the financial sector. This includes implementing RAG pipelines, optimizing model routing, and building verifiable trust architectures.