Finance teams still spend most of their week on manual work: reading invoices and receipts, matching transactions, checking spend against policy, chasing approvals, and closing the books across several countries and currencies.
AI can now do much of that work reliably, and Jeeves is building it into the core of our platform.
That only matters if it works in production, with real money, for real customers.As an AI Engineer at Jeeves, you will own whole workflows from end to end, not individual features.
For example, you might own everything that happens between an invoice arriving and a payment going out: document extraction, matching, policy checks, approval routing, posting to the customer's ERP, and the evaluation and monitoring that tell us it's working.
You'll decide how to build it, ship it, measure it, and keep improving it.
You'll work closely with Product, Backend Engineering, and our customers' finance teams, but you won't wait for someone to hand you a spec.This is a senior, hands-on role for people who are AI-native in how they work.
You use coding agents and AI tools every day to move faster, and you know where they fall short.
It isn't a research role, and it isn't a role for someone who wants a narrow, well-defined ticket queue.Location: This role is remote or hybrid based out of Mexico City, Mexico, and is a full-time remote position where it is also possible to come into our office in Roma Norte on a versátil schedule.
#LI-REMOTEWhat You'll Do:Own AI Workflows End to EndTake a finance workflow (for example invoice-to-payment, expense review, or transaction reconciliation)



and own it from problem definition through production and ongoing improvementBuild Reliable AI in ProductionBuild production-grade LLM pipelines: prompt and context design, structured outputs, validation, fallbacks, and confidence scoringDesign retrieval and RAG components (chunking, embeddings, vector search, re-ranking) where a workflow needs grounding in customer documents or policiesIntegrate AI services cleanly with Jeeves's backend: clear API contracts, retries, graceful degradation, and per-customer data isolationManage cost and latency across models, choosing the right model for each stepMeasure, Monitor, and ImproveBuild evaluation sets and automated evals for every workflow you own, and use them to catch regressions when prompts, models, or data changeInstrument AI components with logging, tracing, dashboards, and alerts so you know when quality drops before a customer doesKeep an audit trail of AI decisions that meets the standards of a regulated financial productRaise the Bar for AI Engineering at JeevesSet patterns, shared tooling, and practices that other engineers can build onShow the wider team how to use coding agents and AI tools well in day-to-day engineeringReview peers' AI system designs and share what you learn openlyMinimum Requirements:7+ years of professional software engineering experience,



including at least 2 years building and operating LLM or AI-powered systems in productionA track record of owning a large system or workflow end to end, from scoping and design through launch and iteration, with limited directionHands-on experience shipping LLM-powered applications with APIs such as Anthropic, OpenAI, or similar, including structured outputs, error handling, and evaluationExperience designing agentic or multi-step AI workflows (tool use, orchestration, human review steps), or RAG systems with vector databases such as pgvector, Pinecone, or WeaviateStrong proficiency in Python, plus solid backend fundamentals: REST APIs, PostgreSQL or similar relational databases, async patterns, and a major cloud provider (AWS, GCP, or Azure)Uses AI coding agents and tools (for example Claude Code, Cursor, or Codex) as a regular part of how they build, and can explain where they help and where they don'tExperience with observability for AI systems: logging, tracing, dashboards, and quality monitoringProfessional fluency in English, written and spokenPreferred Qualifications:Experience in fintech, financial services, or another regulated industry where AI decisions must be accurate and auditableExperience automating finance or back-office workflows such as accounts payable, expense management, reconciliation, or document processingHas led a project or small group of engineers technically, even without formal management responsibilityStartup or scale-up experience building systems from scratchSpanish or Portuguese fluencyOpen-source contributions, technical writing, or talks on applied AI#J-*****-Ljbffr

📌 Ai Engineer (Xico)
🏢 Jeeves
📍 Xico