AI Engineer Remote

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 Boston, MA, Acquia is a Great Place to Work-Certified TM company, is listed as one of the world’s top software companies by The Software Report, and is positioned as a market leader by the analyst community. We are Acquia. We are building for the future and we want you to be a part of it!

Our recruitment process is designed to empower you in making the most informed decisions. Acquia is committed to providing an inclusive, transparent, efficient, and educational interview experience that cultivates exploration into career opportunities at Acquia

You will discover the opportunity to grow your career here and learn from a global team that empowers you to exceed boundaries and achieve the extraordinary.

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.

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. Lang Graph, Temporal, Pydantic and Lang Fuse 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.

• Write and ship production AI code daily — you are an active contributor.
• Architect agentic AI workflows using Lang Graph, Temporal, Pydantic — stateful, multi‑agent workflows built for enterprise scale and reliability.
• Own AI observability via Lang Fuse: 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 of AI Agents.
• Hands‑on Lang Graph, Temporal, Pydantic expertise — stateful, cyclic, multi‑agent workflows at enterprise scale.
• Hands‑on Lang Fuse expertise - tracing, evaluation, prompt management, and dataset‑driven testing
• Proficiency with agent harness frameworks such as Lang Chain or similar (e.g. Llama Index, 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…