4 days ago
Bogotá, ColombiaSenior
Responsibilities
- Own finance-related AI workflows end to end, from problem definition and design through production launch and ongoing improvement.
- Design and build agentic and LLM-based systems using extraction, retrieval, reasoning, tool use, structured outputs, validation, fallbacks, and confidence scoring.
- Design RAG components including chunking, embeddings, vector search, and re-ranking when workflows require grounding in customer documents or policies.
- Integrate AI services with backend systems using reliable API contracts, retries, graceful degradation, and per-customer data isolation.
- Build evaluation sets, automated evaluations, logging, tracing, dashboards, alerts, and quality monitoring to detect regressions and production issues.
- Maintain auditable records of AI decisions for regulated financial products.
- Set shared AI engineering patterns and tooling, review system designs, and help engineers use coding agents and AI tools effectively.
- Collaborate directly with customers, finance users, Product, and Backend Engineering to identify workflow problems and define success metrics.
Requirements
- 7+ years of professional software engineering experience, including at least 2 years building and operating LLM or AI-powered systems in production.
- Experience owning a large system or workflow from scoping and design through launch and iteration with limited direction.
- Hands-on experience shipping LLM-powered applications through APIs such as Anthropic or OpenAI, including structured outputs, error handling, and evaluation.
- Experience designing agentic or multi-step AI workflows with tool use, orchestration, and human review steps, or RAG systems using vector databases such as pgvector, Pinecone, or Weaviate.
- Strong Python proficiency and solid backend fundamentals, including relational databases, asynchronous patterns, and a major cloud provider.
- Regular experience using AI coding agents and tools such as Claude Code, Cursor, or Codex, with an understanding of their limitations.
- Experience with observability for AI systems, including logging, tracing, dashboards, and quality monitoring.
- Professional fluency in written and spoken English.
- Preferred: fintech, financial services, regulated-industry, finance workflow automation, startup or scale-up experience, technical leadership, Spanish or Portuguese fluency, or open-source, technical writing, or speaking experience.
Benefits
- Remote work based out of Argentina.
- Opportunity to build production AI systems for real customers and regulated financial workflows.
- High ownership, a steep learning curve, and collaboration with Product, Backend Engineering, customers, and finance teams.
Categories
About Jeeves
Jeeves builds a finance platform for global businesses, combining multi-currency accounts, corporate cards, cross-border payments, and spend management in one system. The privately held company is headquartered in Miami and operates in 20+ countries across the Americas, the United Kingdom, and Europe, serving over 5,000 clients ranging from venture-backed startups to SMBs.