Jeeves
Jeeves
Jeeves एक वित्तीय प्लेटफ़ॉर्म है जो कंपनियों को अंतरराष्ट्रीय खर्च और भुगतान एक ही जगह पर प्रबंधित करने में सहायता करता है। इसकी सेवाओं में कॉर्पोरेट कार्ड जारी करना, खर्च प्रबंधन, सीमा-पार धन हस्तांतरण, विदेशी मुद्रा और सीधे लेखांकन एकीकरण शामिल हैं। यह 25 से अधिक देशों और कई मुद्राओं में कामकाज को समर्थन देता है। इन सभी सुविधाओं को एक साथ लाकर, Jeeves व्यवसायों को अलग-अलग वित्तीय साधनों पर निर्भरता कम करने और रोज़मर्रा के वित्तीय संचालन को बेहतर बनाने में मदद करता है। कंपनी बैंक नहीं है; अपनी सेवाएँ देने के लिए यह लाइसेंस प्राप्त बैंकों और अन्य वित्तीय संस्थानों के साथ काम करती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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