AI Engineer

• 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

• 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

• 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