AI Engineer

Jeeves

. Own finance workflows end to end, from problem definition through production and ongoing improvement .

Posted 10/10/2026full-timeRemote • ArgentinaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating LLM-powered systems, with a strong focus on end-to-end workflow ownership, integration of AI services, and observability practices. Proficient in Python and backend technologies, with a solid understanding of financial services and regulatory requirements.

Highest-signal resume keywords

LLM Application DevelopmentPython ProgrammingAI Workflow DesignAPI IntegrationObservability for AI Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM Application DevelopmentPython ProgrammingAPI IntegrationObservability for AI SystemsDatabase ManagementAI Workflow DesignError HandlingEvaluation MetricsCloud ServicesLogging and Tracing

Soft Skills

Effective CommunicationTeam CollaborationProblem Solving

Tools & Technologies

PostgreSQLAWSGCPAzureClaude CodeCursorCodexPgvectorPineconeWeaviate

Industry Keywords

FintechFinancial ServicesRegulated IndustryBack-Office AutomationAI Engineering Patterns

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPostgresPython

About the role

Key responsibilities & impact

Own finance 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, with human-in-the-loop points
Write design documents, make build-vs-buy and model choices, and set workflow success metrics
Engage directly with customers and internal finance users to understand 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 to catch regressions
Instrument AI components with logging, tracing, dashboards, and alerts
Maintain audit trails of AI decisions for regulated financial products
Establish shared AI engineering patterns, tooling, and practices
Teach the wider team effective use of coding agents and AI tools
Review peers' AI system designs and share learnings

Requirements

What you’ll need

7+ years of professional software engineering experience, including at least 2 years building and operating LLM or AI-powered systems in production
A 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 (tool use, orchestration, human review steps), or RAG systems with vector databases such as pgvector, Pinecone, or Weaviate
Strong proficiency in Python, plus solid backend fundamentals: REST APIs, PostgreSQL or similar relational databases, async patterns, and a major cloud provider (AWS, GCP, or Azure)
Uses AI coding agents and tools, for example Claude Code, Cursor, or Codex, as a regular part of how they build, and can explain where they help and where they don't
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: has led a project or small group of engineers technically
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

Comp & perks

Full-time employment
Remote work based out of Argentina