Senior AI Engineer
Jeeves
- Ottawa, Canada
- Senior Level
- 7+ years
- Posted
Skills
Required
- LLM / AI-powered
- APIs
- LLM-powered
- Anthropic
- OpenAI
- structured outputs
- error handling
- AI workflows
- tool use, orchestration
- human review steps
- Python
- PostgreSQL
- AWS / GCP / Azure
Join Jeeves as a Senior AI Engineer, where you'll take ownership of entire workflows, from design to implementation and continuous improvement. You'll work closely with various teams and have the opportunity to make a significant impact on our AI-powered applications. This is a hands-on role for those who are AI-native and thrive in a dynamic, fast-paced environment.
Responsibilities
- Concevoir des systèmes basés sur l'IA et les LLM qui combinent extraction, récupération, raisonnement et utilisation d'outils pour compléter des travaux en plusieurs étapes.
- Écrire des documents de conception, prendre des décisions sur la construction ou l'achat et choisir les modèles pour chaque flux de travail que vous possédez.
- Construire des pipelines LLM de qualité production : conception de l'invite et du contexte, sorties structurées, validation, solutions de repli et évaluation de la confiance.
Requirements
- Hands-on experience shipping LLM-powered applications with APIs such as Anthropic, OpenAI, or similar, including structured outputs, error handling, and evaluation
Professional fluency in English, written and spoken
- Experience designing agentic or multi-step AI workflows (tool use, orchestration, human review steps)
- A track record of owning a large system or workflow end to end, from scoping and design through launch and iteration, with limited direction
- 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
- 7+ years of professional software engineering experience, including at least 2 years building and operating LLM or AI-powered systems in production
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