---
title: 'Senior AI Engineer at Jeeves'
canonical: 'https://feeny.ai/job/senior-ai-engineer-jeeves-mexico-75fh477nw4ts'
type: 'job'
last_seen: '2026-09-07'
---

# Senior AI Engineer at Jeeves

- **Company:** Jeeves
- **Location:** Mexico
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-16
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/tryjeeves/03f901fc-7a43-4fae-9916-3b287a4bdff6

## Job description

Jeeves is a groundbreaking financial operating system built for global businesses that provides corporate cards, cross-border payments, and spend management software within one unified platform. The company operates across 20+ countries including Brazil, Canada, Colombia, Mexico, the United Kingdom, across Europe, and the United States, and serves over 5,000 clients ranging from venture-backed startups to SMBs around the world. With a mission to empower businesses with more efficient and cost-effective financial solutions worldwide, Jeeves combines cutting-edge financial technology with exceptional team expertise to transform the business financial landscape. Jeeves has been recognized as one of The Information's 50 Most Promising Startups in 2023, as well as a Y Combinator Top Company 2021-2023 and won “Fintech of the Year" at the European Fintech Awards.

Since graduating from Y Combinator in 2020, Jeeves has successfully raised over $380 million and is backed by top world-class investors including Andreessen Horowitz, Y Combinator, CRV, Tencent, Stanford University, Clocktower Ventures, and founders of more than 15 unicorns including David Velez (Nubank), Carlos Garcia (Kavak) and Sebastián Mejía (Rappi).

Jeeves is building AI into the core of its financial platform — from intelligent spend categorization and anomaly detection to LLM-powered workflows that help finance teams move faster. We're looking for a Senior AI Engineer who is obsessed with building AI systems that actually work in production: reliable, observable, cost-efficient, and genuinely useful. This is not a research role. You will ship AI-powered features that process real financial data for real businesses. You'll work alongside backend engineers, data scientists, and product teams to take AI from prototype to production — and you'll help define how Jeeves builds with AI as the company scales. If you've built LLM pipelines, designed RAG architectures, operated ML systems in production, and care deeply about what happens when your AI makes a wrong call in a financial context — we want to meet you. Location: This is a full-time remote position. #LI-REMOTE

What You'll Do:

LLM & AI Pipeline Engineering

- Design, build, and maintain production-grade LLM integration pipelines — including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

- Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

- Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

- Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

- Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search

- Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

- Build document ingestion and chunking pipelines for Jeeves's financial data — processing invoices, receipts, policy documents, and transaction records.

- Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations

- Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

- Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

- Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

- Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability

- Integrate AI services cleanly with Jeeves's backend microservices — designing clear API contracts, circuit breakers, and graceful degradation patterns.

- Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

- Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

- Build human-in-the-loop review workflows for AI decisions that require oversight — particularly for high-value financial actions.

Collaboration & Growth

- Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

- Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

- Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

Requirements:

## Minimum Requirements

- Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience.

- 5+ years of professional software engineering experience, with at least 3 years focused on AI/ML systems in production.

- Hands-on experience building and deploying LLM-powered applications using APIs such as OpenAI, Anthropic, or Cohere in a production environment.

- Experience designing and operating RAG pipelines, including chunking strategies, embedding models, and vector database integration (Pinecone, Weaviate, pgvector, or similar).

- Strong proficiency in Python for AI/ML workloads; familiarity with at least one AI orchestration framework (LangChain, LlamaIndex, or equivalent).

- Experience with ML model serving infrastructure: REST or gRPC inference endpoints, input/output validation, latency budgeting, and monitoring.

- Solid backend engineering fundamentals: REST APIs, relational databases (PostgreSQL preferred), async patterns, and cloud infrastructure (AWS, GCP, or Azure).

- Experience with observability tooling: structured logging, distributed tracing, and building dashboards for AI system health.

## Preferred Qualifications

- Experience in fintech, financial services, or any regulated industry where AI reliability and auditability are critical.

- Familiarity with prompt evaluation frameworks, A/B testing AI outputs, and tracking model performance degradation in production.

- Experience with ML lifecycle management tools: MLflow, Weights & Biases, Vertex AI, or SageMaker.

- Knowledge of real-time data streaming (Kafka, Kinesis) for event-driven AI pipelines.

- Contributions to open-source AI tooling, published technical writing, or talks at AI/ML conferences.

- Prior startup or scale-up experience — comfortable with ambiguity and building foundational systems from scratch.

## About Jeeves

## Company Overview
- **One-liner**: Jeeves is a global financial management platform that simplifies corporate payments, expense management, and cross‑border transactions for businesses of all sizes.
- **Entity Type**: Private (Series C; raised $543.1M total)
- **Headquarters**: Miami, Florida, United States
- **Founded**: Not publicly available (Y Combinator‑backed, first funding round in 2021)
- **Founders**: Dileep Thazhmon (CEO & Founder)

## Core Business
- **Primary industry**: Financial Services / Fintech
- **Target customers**: B2B – startups, SMBs, and mid‑market companies operating globally
- **Mission/purpose**: Empower businesses globally by providing a modern approach to financial services, allowing customers to focus on growth.

## Products & Services
- **Jeeves Corporate Cards**: Visa and Mastercard‑powered physical and virtual cards for team spending, with real‑time controls and limits.
- **Jeeves Pay**: Cross‑border payments and bill pay, including stablecoin corridors for efficient LATAM‑USD transfers.
- **Jeeves Expense Management**: Automated expense tracking, receipt capture, and reconciliation integrated with accounting tools.
- **Jeeves Embedded Finance**: White‑label financial solutions for partners, notably in the corporate travel sector (e.g., Brazil travel management).

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metrics**:
  - Annual Revenue: $31M (as of latest data)
  - Total Funding: $543.1M (debt and equity)
- **Notable Investors**: Y Combinator, CRV, Andreessen Horowitz, Tencent (led Series C), Community Investment Management (debt facility)
- **Growth Signals**:
  - 216 employees (+20.2% YoY)
  - 50 active job postings (+455.6% YoY)
  - Presence in 25+ countries across four continents
  - Recent expansion in Brazil, including an embedded finance partnership for travel and a dedicated CEO for Brazil
  - New stablecoin‑based cross‑border payment corridors

## Competitive Advantages
- **Global reach**: Unified platform covering 25+ countries with multi‑currency accounts, cards, and payments.
- **All‑in‑one solution**: Combines corporate cards, bill pay, expense management, and embedded finance – reducing the need for multiple vendors.
- **Stablecoin infrastructure**: Proprietary stablecoin corridors enable faster, cheaper cross‑border transfers, especially between LATAM and USD.
- **Strong investor backing**: Supported by top‑tier VCs (YC, a16z, CRV, Tencent) providing capital and network effects.

## Strategic Focus
- **Latin America expansion**: Deepening presence in Brazil, Mexico, Colombia with local offices, partnerships (e.g., Coparmex, Wooba), and new products.
- **Embedded finance**: Offering white‑label financial tools to partners in travel and other verticals.
- **Product innovation**: Enhancing stablecoin‑based payments, AI‑driven expense management, and real‑time financial controls.

## Why Work Here
- **Remote‑first culture**: Work from anywhere with flexible remote/hybrid options; 5 global hubs (Miami, Mexico City, Bogotá, São Paulo, Madrid).
- **Diverse & global team**: 30+ nationalities, 20+ languages, spread across 18+ countries.
- **Comprehensive benefits**: Healthcare coverage by region, generous PTO, paid holidays, parental leave, and learning & development opportunities.
- **Growth trajectory**: Rapidly scaling company with 50+ open roles across engineering, sales, and product – offering career advancement in a high‑growth fintech.
- **Engineering culture**: Strong technical leadership (CTO, VP Engineering) and active hiring for Senior AI Engineer, Principal Backend Engineer, and other roles.

## Sources
1. [Jeeves About Us](https://www.tryjeeves.com/about-us)
2. [Jeeves Careers](https://www.tryjeeves.com/work-at-jeeves)
3. [Jeeves Lever Job Board](https://jobs.lever.co/tryjeeves)
4. [Jeeves LinkedIn Company Page](https://linkedin.com/company/tryjeeves)

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