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.
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Applied AI Engineer at VC-backed fintech AI startup
Are you ready to build the gold standard for AI trust in financial services? We are looking for an Applied AI Engineer to join a well-funded startup revolutionizing financial advisory workflows. You will move beyond simple wrappers to build sophisticated agentic architectures, RAG pipelines, and verifiable AI systems. If you have 1-4 years of experience, a mastery of Python, and a deep passion for generative AI, this is your chance to join a high-growth team where your code will directly impact how financial advice is delivered to millions. Join us at the frontier of fintech and AI innovation.
Overview
Role overview
Company
About the company
VC-backed fintech AI startup
Responsibilities
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.
Candidate profile
Who this is a fit for
- 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.
What makes it remarkable
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.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.