Senior AI Engineer · Jeeves

Fri, 17 Apr 2026 12:38:17 GMT
Engineering

Jeeves · Mexico · remote
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. 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. 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. 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. 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. 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.