AI Engineer
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Job Description
AI Engineer building end-to-end LLM workflows for Jeeves’ stablecoin-native banking platform. Shipping reliable finance automation with evaluation, monitoring, and backend integration.
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-vs-buy and model choices, and set workflow success metrics
- Work directly with customers and internal finance users to identify workflow problems and define completion 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 backend systems 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
- Implement logging, tracing, dashboards, alerts, and AI quality monitoring
- Maintain an audit trail of AI decisions for a regulated financial product
- Establish shared AI engineering patterns, tooling, and practices
- Train the wider team on effective use of coding agents and AI tools
- 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
Benefits:
- Remote work or hybrid work based out of São Paulo
- Flexible schedule for coming into the office at complexo JK Iguatemi
- Opportunity to work at a stablecoin-native banking platform serving global enterprises
- Steep learning curve and hands-on experience with production AI systems
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