Staff AI Engineer

Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers, and IT operations teams at thousands of global organizations to rapidly compose and deploy digital products and services that engage customers, enhance conversions, and help businesses stand out.

Headquartered in the U.S., Acquia has been named a top software company by The Software Report, rated a leader by the analyst community, and named a top place to work by the Boston Globe and the Boston Business Journal. We are Acquia. We are building for the future and we want you to be a part of it!

• →Write and ship production AI code daily — you are an active contributor, not just an architect. 
• →Architect agentic AI workflows using LangGraph — stateful, multi-agent workflows built for enterprise scale and reliability.
• → Own AI observability via LangFuse: tracing, prompt versioning, evaluation, and performance benchmarking across all model interactions.
• → 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 as a natural extension of your work — sharing knowledge through code reviews, pairing sessions, and design discussions, not through management overhead.
• →Represent Acquia's AI capabilities in customer architectural reviews, technical discovery, and roadmap conversations.

• 8+ years of software engineering with 3+ years in production AI/ML or LLM systems.
• Hands-on LangGraph expertise — stateful, cyclic, multi-agent workflows at enterprise scale.
• Hands-on LangFuse expertise - tracing, evaluation, prompt management, and dataset- driven testing
• Proficiency with agent harness frameworks such as LangChain or similar (e.g. LlamaIndex, CrewAI) — composing chains, tools, memory, and retrieval pipelines.
• Deep Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture).
• Cloud AI deployment experience (AWS, Azure, or GCP) including containerization and inference cost management.
• RAG architecture knowledge— vector databases, embedding models, and retrieval strategies.
• B.S. in Computer Science or equivalent practical experience.

• Enterprise SaaS or CMS,  including familiarity with Acquia's Drupal-based DXP experience
• Agentic development workflow fluency  — AI-assisted coding tools (Copilot, Cursor, Claude) as everyday accelerators.
• Familiarity with persistent agent runtimes - such as OpenClaw and Hermes Agent, understanding cross-session memory, autonomous skill creation, and always-on agent infrastructure as it matures in enterprise contexts.
• LLM fine-tuning or model evaluation experience and awareness of foundational model tradeoffs.
• Human-in-the-loop — interrupt-driven agents and enterprise design
• Strong communication skills — able to present AI system design to both engineers and C-suite stakeholders.
• Senior IC track record — known for the quality of your own code and system designs, with mentoring that happens organically through great work, not through meetings.