Staff AI Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $145k - $158.5k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Acquia

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Secondary Market on 2018-08

Consulting • Healthcare • Marketing

Acquia is a company that provides the Acquia Digital Experience Platform (DXP), which is built on the industry-leading Drupal open-source CMS. The platform is designed to help organizations manage their digital presence more effectively, with a suite of tools that include content management, SEO optimization, customer data management, and more. Acquia offers solutions for various industries, such as healthcare, government, and retail, to enhance their digital customer journeys. The platform integrates with over 80 tools, facilitating collaborative content creation and optimized delivery. Acquia is recognized as a leader in digital experience platforms and is committed to accessibility and customer success.

📋 Description

• Write and ship production AI code daily as an active contributor • Architect stateful, cyclic, multi-agent AI workflows using LangGraph, Temporal, and Pydantic • Own AI observability through LangFuse, including tracing, prompt versioning, evaluation, and performance benchmarking • Set 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 meeting enterprise SLA, security, and compliance requirements • Evaluate and adopt emerging LLM providers, orchestration frameworks, and agentic stack improvements • Mentor engineers through code reviews, pairing sessions, and design discussions • Represent Acquia’s AI capabilities in customer architectural reviews, technical discovery, and roadmap conversations

🎯 Requirements

• 8+ years of software engineering experience • 3+ years of production experience with AI Agents • Hands-on expertise with LangGraph, Temporal, and Pydantic • Hands-on LangFuse expertise in tracing, evaluation, prompt management, and dataset-driven testing • Proficiency with agent harness frameworks such as LangChain or similar, including chains, tools, memory, and retrieval pipelines • Deep Python proficiency • Strong engineering fundamentals in testing, CI/CD, and architecture • Cloud AI deployment experience with AWS, Azure, or GCP • Experience with containerization and inference cost management • Knowledge of RAG architecture, vector databases, embedding models, and retrieval strategies • B.S. in Computer Science or equivalent practical experience • Ability to learn new technologies and collaborate with AI tools

🏖️ Benefits

• Competitive healthcare coverage • Wellness programs • Take it when you need it time off • Parental leave • Recognition programs • Benefits for employees and their families • Equal opportunity and inclusive workplace commitment