Staff AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, and deploy production-grade agentic AI workflows within the Acquia DXP.

• Actively contribute by writing and delivering production-level AI code on a daily basis.

• Architect stateful, cyclic, multi-agent workflows utilizing LangGraph, Temporal, and Pydantic.

• Manage AI observability through LangFuse, encompassing tracing, prompt versioning, evaluation, and performance benchmarking.

• Establish engineering standards for agent design patterns, RAG, prompt management, context optimization, and strategies for tool-calling.

• Collaborate with product and platform teams on AI architectures that comply with enterprise SLA, security, and compliance standards.

• Assess and integrate emerging LLM providers, orchestration frameworks, and enhancements to the agentic stack.

• Mentor engineers through code reviews, collaborative coding sessions, and design discussions.

• Represent Acquia’s AI capabilities during customer architectural reviews, technical discovery, and roadmap discussions.

⛳️ Requirements

• Over 8 years of experience in software engineering.

• More than 3 years of production experience with AI agents.

• Practical expertise in LangGraph, Temporal, and Pydantic.

• Proficient with LangFuse, including features like tracing, evaluation, prompt management, and dataset-driven testing.

• Skilled in agent harness frameworks such as LangChain, LlamaIndex, or CrewAI.

• Extensive proficiency in Python.

• Strong foundational knowledge in testing, CI/CD, and system architecture.

• Experience deploying AI in cloud environments such as AWS, Azure, or GCP.

• Familiarity with containerization and managing inference costs.

• Understanding of RAG architecture, vector databases, embedding models, and retrieval strategies.

• Bachelor’s degree in Computer Science or equivalent practical experience.

• Experience in enterprise SaaS or CMS, with knowledge of Drupal-based DXP.

• Background with AI-assisted coding tools like Copilot, Cursor, or Claude.

• Familiarity with persistent agent runtimes such as OpenClaw and Hermes Agent.

• Experience in LLM fine-tuning or model evaluation.

• Knowledge of human-in-the-loop systems, interrupt-driven agents, and enterprise design.

• Excellent communication skills for presenting AI system designs to engineers and C-suite stakeholders.

• Proven track record as a senior individual contributor with high-quality code and system designs.

• Fluency in AI concepts, a mindset for orchestration, radical adaptability, a builder mentality, and intellectual humility.

🏝️ Benefits

• Competitive healthcare coverage.

• Wellness programs.

• Flexible time off policy.

• Parental leave.

• Recognition programs.

• An inclusive, transparent, efficient, and educational interview process.

• Opportunities for career growth.

• Learning experience from a global team.