Staff AI Engineer (Acquia DAM)
Tasks
- Architect multi agent and stateful AI workflows
- Build production AI workflows for auto tagging search classification and content intelligence
- Contribute to customer facing system design discussions
- Define engineering standards for LLM usage RAG pipelines and prompt strategies
- Ensure secure compliant and scalable AI deployments
- Evaluate and integrate emerging AI frameworks models and tooling
- Lead design and development of AI systems for digital asset management
- Mentor engineers with code reviews and architecture discussions
- Own AI observability evaluation tracing prompt management and benchmarking
Perks/Benefits
- Career growth opportunities
- Equity opportunities
- Experimental development environments
- Fully remote work within North America
- Health, dental, and vision insurance
- Modern AI tooling
- Paid time off
- Parental leave
- Wellness support programs
Skills/Tech-stack
AI Observability | AWS | Azure | CI/CD | Cloud platform | Containerized deployments | Context Optimization | Distributed Systems | Distributed Systems Design | Docker | Embeddings | Evaluation Pipelines | Google Cloud | Google Cloud Platform | LLM orchestration | Langchain | Langfuse | Langgraph | Prompt engineering | Prompt management | Python | RAG | Retrieval strategies | Systems Design | Temporal | Testing | Tool-Calling | Vector Databases
Education
N/A
Roles
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