1 час назад
Staff AI Engineer (AI Core Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Engineer (AI Core Engineering): Building and shipping production-grade agentic AI workflows across the Acquia DXP with an accent on LangGraph, Temporal, Pydantic, LangFuse, enterprise reliability, and observability. Focus on designing stateful multi-agent systems, optimizing RAG and tool-calling strategies, benchmarking AI infrastructure, and meeting enterprise-scale security and compliance requirements.
Location: Remote in Canada
Company
provides an AI-powered digital experience platform built on open-source Drupal, combining content management, digital asset management, and product information management for enterprise organizations.
What you will do
- Design, build, and ship production-grade agentic AI workflows across the DXP.
- Architect stateful, cyclic, and multi-agent workflows using LangGraph, Temporal, and Pydantic.
- Own AI observability with LangFuse, including tracing, prompt versioning, evaluation, and performance benchmarking.
- Set engineering standards for agent design, RAG, prompt management, context optimization, and tool-calling strategies.
- Partner with product and platform teams on AI architectures that meet enterprise SLA, security, and compliance requirements.
- Mentor engineers through code reviews, pairing, design discussions, and customer architectural reviews.
Requirements
- 8+ years of software engineering experience, including 3+ years building AI agents in production.
- Hands-on expertise with LangGraph, Temporal, Pydantic, and LangFuse.
- Experience with LangChain or similar agent harness frameworks, including chains, tools, memory, and retrieval pipelines.
- Deep Python proficiency and strong fundamentals in testing, CI/CD, and software architecture.
- Cloud AI deployment experience with AWS, Azure, or GCP, including containerization and inference cost management.
- Knowledge of RAG architectures, vector databases, embedding models, and retrieval strategies, plus a B.S. in Computer Science or equivalent practical experience.
Nice to have
- Enterprise SaaS or CMS experience, especially with Drupal-based digital experience platforms.
- Experience with AI-assisted development tools such as Copilot, Cursor, or Claude.
- Familiarity with persistent agent runtimes, cross-session memory, autonomous skill creation, and always-on agent infrastructure.
- LLM fine-tuning, model evaluation, human-in-the-loop agent design, or foundational model trade-off experience.
- Experience presenting AI system designs to engineering and executive stakeholders.
Culture & Benefits
- Remote work for candidates based in Canada.
- Healthcare coverage and wellness programs.
- Flexible take-it-when-you-need-it time off and parental leave.
- Recognition programs and additional employee benefits.
- Inclusive environment focused on innovation, learning, collaboration, and AI-augmented work.
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