Forward Deployed Engineer

🕒 July 29

🇨🇦 Canada – Remote

💵 $176.6k - $243.7k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👷🏻‍♀️ Engineer

Where this job comes from

Posted on Robots & Pencils's careers page, not through a job board

First seen by Remote Rocketship July 29

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Logo of Robots & Pencils

Robots & Pencils

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Lead the design and implementation of complex ML/AI systems end-to-end • Build, deploy, and evolve scalable ML platforms • Diagnose and unblock integration challenges in live systems • Embed directly with client teams • Partner with product, engineering, and leadership • Translate complex AI tradeoffs, risks, and opportunities • Lead design reviews and technical discussions • Define AI architecture and engineering standards • Drive client adoption of AI systems post-delivery • Mentor and grow junior and mid-level engineers • Take ownership of high-stakes pieces of work

🎯 Requirements

• 7+ years professional software engineering experience • 4+ years focused on AI/ML systems in production • Expert software engineering background (Python or similar) • Deep expertise with cloud platforms, including AWS services • Proven track record designing and shipping complex agentic systems • Mastery of AI frameworks and orchestration tools • Strong experience with evaluation frameworks and observability tools for LLM apps • Deep understanding of AI safety, responsible AI principles • Extensive experience building RAG pipelines • API design experience • Advanced cost optimization expertise • Strong working knowledge of Docker and Kubernetes • Expert knowledge of AI-forward coding tools

🏖️ Benefits

• Health insurance • Retirement plans • Professional development • Remote work options

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