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Jeeves
Jeeves
51 – 200 Employees
H1B Visa SponsorConsultingLogisticsMarketing
Jeeves is a financial platform that helps companies manage international spending and payments in one place. Its services include corporate card issuance, expense management, cross-border transfers, foreign exchange, and direct accounting integrations, supporting operations across more than 25 countries and multiple currencies. By bringing these functions together, Jeeves helps businesses reduce reliance on fragmented financial tools and improve day-to-day finance operations. The company is not a bank; it works with licensed banks and other financial institutions to provide its services.
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Senior AI Engineer, Mexico (Remote)

Lead the development of production LLM workflows for Jeeves’ stablecoin-native banking platform. Build dependable, evaluated AI systems for enterprise finance operations.

MXMexicoRemoteFull-timeSeniorLeadEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudGoogle Cloud PlatformPostgresPython

Description

  • Own finance AI workflows from initial problem framing through production and continued refinement.
  • Create agentic and LLM systems that bring together extraction, retrieval, reasoning, and tool use.
  • Set human review checkpoints for high-value financial decisions.
  • Document designs, assess build-versus-buy and model options, and define workflow success measures.
  • Work with customers and internal finance teams to uncover workflow challenges and agree on success criteria.
  • Develop production-ready LLM pipelines with prompt and context design, structured outputs, validation, fallback handling, and confidence scoring.
  • Build retrieval and RAG components, including chunking, embeddings, vector search, and reranking.
  • Connect AI services to Jeeves’ backend through API contracts, retries, graceful failure handling, and customer-level data isolation.
  • Control model costs and response times.
  • Create evaluation datasets and automated checks to detect regressions as prompts, models, or data change.
  • Add logging, tracing, dashboards, and alerts to AI components.
  • Keep an audit trail of AI decisions for a regulated financial product.
  • Develop common AI engineering patterns, tools, and practices.
  • Help the broader team use coding agents and AI tools effectively.
  • Review AI system designs and share lessons learned.

Requirements

  • At least 7 years of professional software engineering experience, including 2 or more years building and operating production LLM or AI systems.
  • Demonstrated ownership of a substantial system or workflow from scoping and design through launch and iteration, with minimal guidance.
  • Practical experience delivering LLM applications using APIs such as Anthropic, OpenAI, or similar, including structured outputs, error handling, and evaluation.
  • Experience designing agentic or multi-step AI workflows, or RAG systems using vector databases such as pgvector, Pinecone, or Weaviate.
  • Strong Python skills.
  • Sound backend fundamentals, including REST APIs, PostgreSQL or a comparable relational database, asynchronous patterns, and a major cloud platform such as AWS, GCP, or Azure.
  • Regular use of AI coding agents and tools such as Claude Code, Cursor, or Codex.
  • Experience monitoring AI systems with logs, traces, dashboards, and quality checks.
  • Professional fluency in spoken and written English.
  • Preferred: background in fintech, financial services, or another regulated field.
  • Preferred: experience automating finance or back-office processes.
  • Preferred: technical leadership of a project or a small engineering team.
  • Preferred: startup or scale-up experience building systems from the ground up.
  • Preferred: fluency in Spanish or Portuguese.
  • Preferred: open-source contributions, technical writing, or talks about applied AI.

Benefits

  • Full-time employment.
  • Remote work option.
  • Flexible schedule with access to the Roma Norte office.
  • Work on AI systems for a stablecoin-native banking platform.
  • Professional development through a steep learning curve.
  • Exposure to global enterprise finance, payments, treasury, and spend operations.

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