Note: The job is a remote job and is open to candidates in USA. Acquia is a digital experience platform company that provides AI-powered content, asset, and product information management solutions for enterprise teams. The Staff AI Engineer will design, build, and ship production-grade agentic AI workflows across the Acquia DXP, establish engineering and observability standards, collaborate on secure and reliable architectures, and mentor engineers.
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
Skills
- * 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
- * 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
Benefits
- Competitive healthcare coverage
- Wellness programs
- Take it when you need it time off
- Parental leave
- Recognition programs
Company Overview
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