Senior AI Engineer

🔥 5 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jeeves

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Jeeves is a financial platform offering streamlined solutions for global finance management. It allows companies to issue cards, send payments, and manage expenses through an all-in-one platform available in over 25 countries globally. By integrating various financial services, Jeeves increases efficiency and saves costs for businesses traditionally burdened by disjointed financial systems. With offerings such as international fund transfers, competitive FX rates, expense management, and direct accounting integrations, Jeeves enhances operational capabilities across multiple currencies and regions. Although not a bank, it partners with licensed banks and financial institutions to provide these services.

📋 Description

• Own AI workflows end to end, including deciding how to build, ship, measure, and improve them • Design agentic and LLM-based systems combining extraction, retrieval, reasoning, and tool use with clear human-in-the-loop points • Write design documents, make build-vs-buy and model choices, and set workflow success metrics • Build production-grade LLM pipelines with prompt and context design, structured outputs, validation, fallbacks, and confidence scoring • Integrate AI services with Jeeves's backend using clear API contracts, retries, graceful degradation, and per-customer data isolation • Manage cost and latency across models • Build evaluation sets and automated evaluations and use them to catch regressions • Instrument AI components with logging, tracing, dashboards, and alerts • Maintain an audit trail of AI decisions for a regulated financial product • Set 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

• 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) • 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) • Experience with observability for AI systems: logging, tracing, dashboards, and quality monitoring • Professional fluency in English, written and spoken