Jeeves
Jeeves
Jeeves ir finanšu platforma, kas palīdz uzņēmumiem vienuviet pārvaldīt starptautiskos izdevumus un maksājumus. Tās pakalpojumi ietver uzņēmumu karšu izsniegšanu, izdevumu pārvaldību, pārrobežu pārskaitījumus, valūtas maiņu un tiešu integrāciju ar grāmatvedības sistēmām. Pakalpojumi atbalsta darbību vairāk nekā 25 valstīs un vairākās valūtās. Apvienojot šīs funkcijas, Jeeves palīdz uzņēmumiem samazināt atkarību no sadrumstalotiem finanšu rīkiem un uzlabot ikdienas finanšu darbības. Uzņēmums nav banka; tas sniedz savus pakalpojumus sadarbībā ar licencētām bankām un citām finanšu iestādēm.

Senior AI Engineer, Brazil (Remote)

Build and operate end-to-end LLM workflows for Jeeves’ stablecoin-native banking platform. Deliver dependable finance automation through evaluation, monitoring, and backend integration.

Apraksts

  • Lead finance AI workflows from problem definition through production and continuous improvement
  • Design agentic and LLM systems that combine extraction, retrieval, reasoning, and tool use
  • Decide where human review is needed for high-value financial decisions
  • Document designs, choose whether to build or buy and which models to use, and define workflow success metrics
  • Partner with customers and internal finance users to identify workflow needs and set completion criteria
  • Build production LLM pipelines with prompt and context design, structured outputs, validation, fallback handling, and confidence scoring
  • Develop retrieval and RAG components, including chunking, embeddings, vector search, and reranking
  • Connect AI services to backend systems through API contracts, retries, graceful degradation, and customer data isolation
  • Control model costs and response times
  • Create evaluation datasets and automated checks to detect regressions
  • Set up logging, tracing, dashboards, alerts, and AI quality monitoring
  • Keep an audit trail of AI decisions for a regulated financial product
  • Create shared AI engineering patterns, tools, and practices
  • Help the wider team use coding agents and AI tools effectively
  • Review AI system designs and share lessons learned

Prasības

  • Bring 7 or more years of professional software engineering experience, including at least 2 years building and operating production LLM or AI systems
  • Have owned a substantial system or workflow from scoping and design through launch and iteration, with limited direction
  • Have hands-on experience delivering LLM applications with APIs such as Anthropic, OpenAI, or similar, including structured outputs, error handling, and evaluation
  • Have experience designing agentic or multi-step AI workflows, or RAG systems using vector databases such as pgvector, Pinecone, or Weaviate
  • Demonstrate strong Python skills
  • Understand backend fundamentals, including REST APIs, PostgreSQL or comparable relational databases, asynchronous patterns, and a major cloud provider such as AWS, GCP, or Azure
  • Use AI coding agents and tools regularly, such as Claude Code, Cursor, or Codex
  • Have experience with AI system observability, including logging, tracing, dashboards, and quality monitoring
  • Be professionally fluent in written and spoken English

Priekšrocības

  • Remote or hybrid work based in São Paulo
  • Flexible schedule for working from the office at complexo JK Iguatemi
  • Work at a stablecoin-native banking platform serving global enterprises
  • Gain hands-on experience with production AI systems and a steep learning curve

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