AI Engineer
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Job Description
AI Engineer owning production LLM workflows for Jeeves’s stablecoin-native banking platform. Building reliable, evaluated AI systems for enterprise finance operations.
Responsibilities:
- 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:
- 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:
- 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
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