Staff AI Engineer - AI Platform Engineering
New
A
AcquiaDigital Experience Platform
Remote-CanadaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years of software engineering with 3+ years in production AI/ML or LLM systems.
- Required Skills
- AWSDockerPythonGCPKubernetesMachine LearningAzureCI/CDLLMLangChain
Requirements
- 8+ years of software engineering
- 3+ years in production AI/ML or LLM systems
- Hands-on LangGraph expertise for stateful, cyclic, multi-agent workflows at enterprise scale
- Hands-on LangFuse expertise for tracing, evaluation, prompt management, and dataset-driven testing
- Proficiency with agent harness frameworks such as LangChain, LlamaIndex, or CrewAI
- Deep Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture)
- Cloud AI deployment experience (AWS, Azure, or GCP)
- Experience with containerization and inference cost management
- RAG architecture knowledge: vector databases, embedding models, and retrieval strategies
- B.S. in Computer Science or equivalent practical experience
Responsibilities
- Write and ship production AI code daily
- Architect agentic AI workflows using LangGraph for enterprise scale and reliability
- Own AI observability via LangFuse: tracing, prompt versioning, evaluation, and performance benchmarking
- 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
- Evaluate and adopt emerging tooling— benchmarking LLM providers, orchestration frameworks, and agentic stack improvements
- Mentor engineers through code reviews, pairing sessions, and design discussions
- Represent Acquia's AI capabilities in customer architectural reviews, technical discovery, and roadmap conversations
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