About Acquia 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-CertifiedTM 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! Career Exploration at Acquia 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. 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. Key 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. Required Experience - 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. 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. 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. Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more! Acquia is an equal opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veterans status or any other protected status or characteristic under federal, state or local law unrelated to the ability to perform the job. 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. Pay Range $180,000—$200,000 USD

• Design and build automated workflows - both deterministic (rule-based) and probabilistic (model-driven) • Implement agent orchestration patterns (planning, tool use, evaluation loops, error recovery) • Build and maintain APIs and backend services supporting AI-driven functionality • Develop retrieval and grounding systems for knowledge search and context enrichment • Work with structured and unstructured data to support AI use cases • Design evaluation frameworks to measure and monitor AI system quality • Design testing strategies for non-deterministic AI systems • Manage cost, latency, and quality tradeoffs in production AI systems • Collaborate with Backend, Data, DevOps, and Product teams • Deploy, monitor, and maintain services in production environments • Contribute to system design and technical decision-making

• Design, build, and deploy AI solutions powered by ML, LLMs, and agentic AI systems that solve real business problems. • Define evaluation strategies upfront for each use case, including task success metrics, offline and online evaluation plans, error analysis, and production monitoring requirements. • Build and improve LLM-based systems using prompt engineering, retrieval-augmented generation (RAG), context engineering, and multi-step agentic workflows. • Partner closely with product, engineering, data, and business stakeholders to prioritize AI use cases and align on success metrics, operational requirements, and delivery timelines. • Apply strong production practices across AI systems, including experimentation, versioning, observability, alerting and continuous improvement in production • Monitor, troubleshoot, and improve production AI systems by balancing quality, latency, cost, reliability, and maintainability.

• Develop and integrate LLM-based solutions using platforms such as OpenAI, Microsoft Azure AI, and AWS AI/ML; • Build, orchestrate, and maintain intelligent agents and multi-agent systems applied to various business domains; • Design and implement automation flows and AI pipelines using TypeScript and JavaScript; • Apply prompt engineering techniques to optimize the performance and reliability of language models in production; • Integrate external tools and services via protocols like MCP (Model Context Protocol) and REST APIs; • Collaborate with product, data, and leadership teams to identify AI opportunities and translate business objectives into technical solutions; • Ensure the quality, traceability, and security of implemented AI solutions, following software engineering best practices; • Stay up to date with trends in the AI ecosystem (models, frameworks, tools) and propose continuous improvements to existing solutions.