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Jeeves

AI Engineer

Jeeves

. Own finance AI workflows end to end, from problem definition through production and ongoing improvement .

Posted 10/10/2026full-timeRemote • MexicoSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and operating LLM-powered systems, with a strong focus on designing AI workflows and integrating AI services. Proficient in managing production-grade AI components, ensuring quality monitoring, and maintaining compliance in regulated financial environments.

Highest-signal resume keywords
LLM Application DevelopmentPython ProficiencyAI Workflow DesignREST API DevelopmentFinancial Services Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
LLM SystemsAI WorkflowsPythonPostgreSQLREST APIsVector DatabasesLoggingTracingDashboardsQuality Monitoring
Soft Skills
CommunicationProblem-SolvingTeam Leadership
Tools & Technologies
OpenAIAnthropicClaude CodeCursorCodexAWSGCPAzure
Industry Keywords
FintechFinancial ServicesRegulated IndustryBack-Office Automation

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPostgresPython

About the role

Key responsibilities & impact
  • Own finance AI workflows end to end, from problem definition through production and ongoing improvement
  • Design agentic and LLM-based systems combining extraction, retrieval, reasoning, and tool use
  • Define human-in-the-loop points for high-value financial decisions
  • Write design documents, make build-versus-buy and model choices, and establish workflow success metrics
  • Speak directly with customers and internal finance users to understand workflow problems and success criteria
  • Build production-grade LLM pipelines with prompt and context design, structured outputs, validation, fallbacks, and confidence scoring
  • Design retrieval and RAG components including chunking, embeddings, vector search, and re-ranking
  • Integrate AI services with Jeeves's backend using API contracts, retries, graceful degradation, and per-customer data isolation
  • Manage model cost and latency
  • Build evaluation sets and automated evaluations, and catch regressions when prompts, models, or data change
  • Instrument AI components with logging, tracing, dashboards, and alerts
  • Maintain an audit trail of AI decisions for a regulated financial product
  • Establish shared AI engineering patterns, tooling, and practices
  • Teach the wider team to use coding agents and AI tools effectively
  • Review AI system designs and share learnings

Requirements

What you’ll need
  • 7+ years of professional software engineering experience, including at least 2 years building and operating LLM or AI-powered systems in production
  • Track record of owning a large system or workflow end to end, from scoping and design through launch and iteration, with limited direction
  • Hands-on experience shipping LLM-powered applications with 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 with vector databases such as pgvector, Pinecone, or Weaviate
  • Strong proficiency in Python
  • Solid backend fundamentals: REST APIs, PostgreSQL or similar relational databases, async patterns, and a major cloud provider such as AWS, GCP, or Azure
  • Regular use of AI coding agents and tools such as Claude Code, Cursor, or Codex
  • Experience with observability for AI systems: logging, tracing, dashboards, and quality monitoring
  • Professional fluency in English, written and spoken
  • Preferred: experience in fintech, financial services, or another regulated industry
  • Preferred: experience automating finance or back-office workflows
  • Preferred: technical leadership of a project or small group of engineers
  • Preferred: startup or scale-up experience building systems from scratch
  • Preferred: Spanish or Portuguese fluency
  • Preferred: open-source contributions, technical writing, or talks on applied AI

Benefits

Comp & perks
  • Full-time employment
  • Remote work option
  • Flexible schedule to come into the Roma Norte office
  • Opportunity to work on AI systems for a stablecoin-native banking platform
  • Professional growth through a steep learning curve
  • Exposure to global enterprise finance, payments, treasury, and spend operations