Staff AI Engineer

Acquia

About The Position

Acquia is seeking a Staff AI Engineer to join our AI Core 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, Temporal, Pydantic 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. 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. Acquia is the digital experience platform built for a world where your audience isn't only human. Its agents too. As AI agents become active participants in how people discover, consume, and act on digital content, Acquia gives enterprise teams the platform to create, manage, and distribute experiences designed for both. Powered by agentic AI that orchestrates — not just advises — Acquia automates complex digital workflows within the governance guardrails large organizations require. The world's #1 Drupal hosting provider, Acquia brings together Content Management, Digital Asset Management, and Product Information Management in a single AI-powered Command Center: Acquia Source. Acquia. Built for every audience, human or otherwise. We are an organization that embraces innovation and the potential of AI to enhance our processes and improve our work. We are always looking for individuals who are open to learning new technologies and collaborating with AI tools to achieve our goals. We are seeking an AI-Native candidate who treats AI not as an external tool, but as a fundamental extension of their cognitive workflow. The ideal candidate possesses an orchestration mindset—the ability to skillfully prompt, manage, and direct AI to navigate complexity—and maintains a high degree of AI fluency. You should be characterized by radical adaptability and a "builder" mentality, showing a restless drive to transform traditional work processes into agentic workflows. Beyond technical proficiency, we value intellectual humility: the willingness to constantly unlearn old methods in favor of more efficient, AI-augmented processes. You don't just use AI to do your job; you use it to redefine what your job can achieve.

Requirements

8+ years of software engineering with 3+ years in production of AI Agents.
Hands-on LangGraph, Temporal, Pydantic 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.

Nice To Haves

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.

Responsibilities

Write and ship production AI code daily — you are an active contributor.
Architect agentic AI workflows using LangGraph, Temporal, Pydantic — 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.