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
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
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.
Qualifications
8+ years of software engineering with 3+ years in production of AI Agents.
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.
Requirements
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.
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.