Staff AI Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $180k - $230k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Acquia

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

☁️ SaaS

🏢 Enterprise

🛍️ eCommerce

💰 Secondary Market on 2018-08

SaaS • Enterprise • eCommerce

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 — 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.

🎯 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.

🏖️ Benefits

• competitive healthcare coverage • wellness programs • take it when you need it time off • parental leave • recognition programs • much more!