[Hiring] Staff AI Engineer @Acquia

Role Description

Acquia is seeking a Staff AI Engineer to join our AI Platform Engineering team. This is first and foremost a hands-on engineering role — you will spend the majority of your time designing, building, and shipping production-grade agentic AI workflows across the Acquia DXP. LangGraph and LangFuse are your primary tools; enterprise reliability, observability, and scale are your standards. You'll also play a light but meaningful mentoring role, helping to lift the AI engineering capability of those around you as the team grows.

Key Responsibilities

• 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.

Qualifications

• 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.

Desired Skills

• 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.

Benefits

• Competitive healthcare coverage.
• Wellness programs.
• Take it when you need it time off.
• Parental leave.
• Recognition programs.
• And much more!