Related skills
aws python gcp langgraph langfuse📋 Description
- Lead end-to-end delivery of AI agent implementations
- Architectural reviews to optimize AI platform performance, scalability, and security
- Design and deploy production-grade AI systems; code in Python, LangGraph, LangFuse
- Architect stateful, multi-agent workflows with LangGraph at scale
- Champion AI observability by integrating LangFuse for tracing and evaluation
- Define blueprints for RAG architecture, tool-calling, context windows, and prompts
🎯 Requirements
- Bachelor's or Master's degree in Computer Science, AI, or related field
- 7+ years in cloud computing architecture, software engineering, or technical consulting
- 3+ years AI/ML platform architecture with generative AI and agentic production work
- Track record shipping AI applications to production environments
- Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture)
- Cloud AI deployment experience (AWS, Azure, or GCP) including containerization and inference cost management
🎁 Benefits
- Core benefits include healthcare coverage, wellness programs, take-it-when-you-need-it time off, parental leave, recognition programs
- More benefits information on Acquia Careers Benefits page
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