Staff AI Engineer

Acquia

11h•$180,000 - $200,000

About The Position

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. The Role: As an AI Staff Engineer within R&D, you will drive the technical evolution of Acquia DAM, a market-leading platform that transforms how global brands manage content using powerful AI features including auto-tagging, automated facial recognition, duplicate asset detection, and natural language search. In this role, you will work to deeply integrate DAM with the broader Acquia AI ecosystem, architecting upcoming roadmap themes centered on autonomous asset governance, agentic orchestration, and smart visual transformations. Joining our collaborative, AI-native engineering team, you will actively identify the latest agentic practices and mentor developers as they leverage an evolving toolset—including OpenCode, OpenSpec product specifications, and a diverse matrix of foundational models and skills—to drive rapid development, testing, and cutting-edge feature delivery.

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.