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Senior AI Engineer (LLM & RAG Systems) - Financial AI

torentify • United State
Remote
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Build and deploy production-grade AI systems for Jeeves’ financial platform, focusing on LLM-powered workflows, spend categorization, and anomaly detection. Collaborate with cross-functional teams to ensure reliability, observability, and cost efficiency while scaling AI engineering practices. Requires expertise in LLM pipelines, RAG architectures, and production ML operations with a financial data focus.

Key Highlights
Engineering-focused role (not research) with emphasis on production-grade AI systems for financial workflows
Collaboration with backend engineers, data scientists, and product teams to deploy AI solutions
Establish and improve AI engineering practices as the company scales globally
Key Responsibilities
Build and deploy AI-powered features processing real financial data for enterprise customers
Design and implement LLM pipelines and RAG architectures for financial workflow automation
Operate and optimize ML systems in production with a focus on reliability, observability, and cost efficiency
Collaborate cross-functionally to transition AI prototypes into scalable, production-ready solutions
Evaluate AI outputs and mitigate risks associated with financial data inaccuracies
Technical Skills Required
Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Production Machine Learning Operations
Benefits & Perks
Fully remote work arrangement
Full-time employment

Job Description

About the Company

Jeeves is a stablecoin-native banking platform serving global enterprises. Companies across 35 countries use its platform for corporate cards, payments, treasury, and spend management. Jeeves processes more than $5 billion in annualized volume and supports payouts to 190 countries. Its customers include BMW, H&M, Lululemon, Burger King, Kavak, and XP.

Jeeves has raised more than $400 million in equity funding from investors including Andreessen Horowitz, Y Combinator, CRV, Coinbase Ventures, GIC, AllianceBernstein, and CoinFund.

About the Role

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