Staff AI Engineer

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $150k - $200k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 • Lead semantic retrieval, indexing, and knowledge graph approaches over the data platform • Enable agents to resolve customers and retrieve complete customer context in a single request • Build inference and signal layers using the Iceberg-based lakehouse • Write scored inferences back to the data platform and expose signals through contracts for other teams • Turn detected conditions such as churn risk, usage and entitlement mismatch, and expansion opportunities into actionable workflows • Select appropriate large models, small fine-tuned models, or deterministic code for each workload • Manage inference costs • Own evaluation and observability for AI systems • Establish engineering patterns for other teams • Work with engineering and business leaders to convert company goals into shipped systems • Collaborate across observability, the core data platform, insights and intelligence, and product and platform teams

🎯 Requirements

• 8+ years of software engineering experience, including 3+ years shipping AI or ML systems to production • Strong programming fundamentals and deep proficiency in at least one language used for AI and data work; Python is the primary language for ML and insights • Advanced SQL, a transformation layer such as dbt, and a distributed query engine over lakehouse or warehouse storage • Experience reasoning about query cost and partitioning • Production retrieval and context engineering, including embeddings, vector search, hybrid or graph retrieval, and retrieval evaluation • Experience with agentic systems and durable workflows in production, including tool calling, state and memory, and human-in-the-loop patterns • Evaluation and observability for AI systems, including tracing, prompt and version management, and dataset-driven testing • Cloud deployment experience with containerized services; AWS preferred • Ownership of inference cost • B.S. in Computer Science or equivalent practical experience • Experience standing up shared data or ML capability for other teams • Experience with small and fine-tuned models, including distilling task-specific models • OpenTelemetry and high-volume logs, metrics, and traces • Data governance knowledge covering access control, lineage, and data residency • Enterprise SaaS or CMS experience, including familiarity with Drupal-based DXP • Familiarity with AI-assisted coding tools such as Claude, Cursor, or Copilot, and MCP or similar • Strong communication skills for presenting AI system design to engineers and C-suite stakeholders • Senior individual-contributor track record and mentoring through technical work • AI fluency, orchestration mindset, radical adaptability, builder mentality, and intellectual humility

🏖️ Benefits

• Competitive healthcare coverage • Wellness programs • Take it when you need it time off • Parental leave • Recognition programs