Principal AI Engineer architecting secure, scalable AI/ML platforms for PointClickCare’s healthcare technology. Establishing GenAI standards and enabling product teams to deploy AI applications.
About the role
- Staff AI Engineer building reliable, observable agentic AI workflows for Acquia’s enterprise digital experience platform. Architecting multi-agent systems with Python, LangGraph, Temporal, Pydantic, and LangFuse.
Responsibilities
- Design, build, and ship production-grade agentic AI workflows across the Acquia DXP
- Write and ship production AI code daily as an active contributor
- Architect stateful, cyclic, multi-agent workflows using LangGraph, Temporal, and Pydantic
- Own AI observability through LangFuse, including tracing, prompt versioning, evaluation, and performance benchmarking
- Set engineering standards for agent design patterns, RAG, prompt management, context optimization, and tool-calling strategies
- Partner with product and platform teams on AI architectures meeting enterprise SLA, security, and compliance requirements
- Evaluate and adopt emerging 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
Requirements
- 8+ years of software engineering experience
- 3+ years of production experience with AI agents
- Hands-on expertise with LangGraph, Temporal, and Pydantic
- Hands-on expertise with LangFuse, including tracing, evaluation, prompt management, and dataset-driven testing
- Proficiency with agent harness frameworks such as LangChain, LlamaIndex, or CrewAI
- Deep Python proficiency
- Strong engineering fundamentals in testing, CI/CD, and architecture
- Cloud AI deployment experience with AWS, Azure, or GCP
- Experience with containerization and inference cost management
- Knowledge of RAG architecture, vector databases, embedding models, and retrieval strategies
- B.S. in Computer Science or equivalent practical experience
- Enterprise SaaS or CMS experience, including familiarity with Drupal-based DXP
- Experience with AI-assisted coding tools such as Copilot, Cursor, or Claude
- Familiarity with persistent agent runtimes such as OpenClaw and Hermes Agent
- LLM fine-tuning or model evaluation experience
- Understanding of human-in-the-loop, interrupt-driven agents, and enterprise design
- Strong communication skills for presenting AI system design to engineers and C-suite stakeholders
- Senior individual-contributor track record with high-quality code and system designs
- AI fluency, orchestration mindset, radical adaptability, builder mentality, and intellectual humility
Benefits
- Competitive healthcare coverage
- Wellness programs
- Take it when you need it time off
- Parental leave
- Recognition programs
- Inclusive, transparent, efficient, and educational interview experience
- Career growth opportunities
- Learning from a global team
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