Acquia
Staff AI Engineer
Remote-Canada · Staff+
Sponsorship not specifiedDetected 34 days ago
PythonCode ReviewCI/CDRAGCommunicationMentoring
About the role
- Write and ship production AI code daily - you are an active contributor.
- Architect agentic AI workflows using LangGraph, Temporal, Pydantic - stateful, multi-agent workflows built for enterprise scale and reliability.
- Acquia is seeking a Staff AI Engineer to join our AI Core Engineering team.
Responsibilities
- Own AI observability via LangFuse: tracing, prompt versioning, evaluation, and performance benchmarking across all model interactions.
- Set AI engineering standards for agent design patterns, RAG, prompt management, context optimization, and tool-calling strategies.
- Partner with product and platform teams to deliver AI architectures that meet enterprise SLA, security, and compliance requirements.
- Mentor engineers as a natural extension of your work - sharing knowledge through code reviews, pairing sessions, and design discussions, not through management overhead.
- Human-in-the-loop - interrupt-driven agents and enterprise design
- Strong communication skills - able to present AI system design to both engineers and C-suite stakeholders.
- Senior IC track record - known for the quality of your own code and system designs, with mentoring that happens organically through great work, not through meetings.
Requirements
- 8+ years of software engineering with 3+ years in production of AI Agents.
- Hands-on LangGraph, Temporal, Pydantic expertise - stateful, cyclic, multi-agent workflows at enterprise scale.
- Hands-on LangFuse expertise - tracing, evaluation, prompt management, and dataset- driven testing
- Proficiency with agent harness frameworks such as LangChain or similar (e.g. LlamaIndex, CrewAI) - composing chains, tools, memory, and retrieval pipelines.
- Deep Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture).
Skills
- LangGraph, Temporal, Pydantic and LangFuse are your primary tools; enterprise reliability, observability, and scale are your standards.
This listing is sourced directly from Acquia's careers page and normalized into a canonical job model.