Staff AI Engineer

Acquia

Staff AI Engineer designing and shipping production-grade agentic AI workflows at Acquia. Join AI Core Engineering team using tools like LangGraph and Temporal for enterprise-level applications.

Posted 6/12/2026full-timeRemote • 🇺🇸 United StatesLead💰 $180,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI codeLangGraphTemporalPydanticLangFusePythonCI/CDRAG architectureagent harness frameworkscloud AI deployment

Soft Skills

mentoringknowledge sharingcollaborationcommunication

Certifications

B.S. in Computer Science