Applied AI Engineer

🕒 August 5

🇦🇺 Australia – Remote

💵 $180k - $225k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 8%

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.

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Cognition

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Cognition is an applied AI lab that specializes in reasoning, aiming to develop AI teammates with capabilities beyond current AI tools. They are known for creating Devin, the first AI software engineer, and focus on solving reasoning to unlock possibilities across various disciplines, starting with code.

📋 Description

• Embed with enterprise engineering teams to drive lasting adoption of Devin and own customer outcomes • Architect and implement agentic workflows across engineering, QA, support, data, and product • Lead live workshops and pair-programming sessions for enterprise engineering teams • Guide customers through installing, configuring, and optimizing Devin, DeepWiki, and MCP integrations • Pair-program on live production problems to demonstrate high-value usage patterns • Track productivity metrics, surface ROI stories, and build the case for expanding Devin within accounts • Turn field learnings into structured playbooks and best practices • Create enablement materials and shared playbooks based on customer learnings

🎯 Requirements

• Degree in a STEM field or equivalent hands-on experience • 3+ years of experience as a software engineer, technical consultant, deployment strategist, forward deployed engineer, solutions engineer, or similar role • Strong coding proficiency in Python, JavaScript/TypeScript, or similar • Ability to communicate complex technical topics to diverse audiences • Track record of driving technical adoption and measurable impact inside engineering organizations • Strong commercial instincts and understanding that successful engagements grow accounts • Excellent verbal and written communication skills • Ability to learn and adapt exceptionally fast • Experience leading developer enablement, platform adoption, or internal AI modernization initiatives is advantageous • Experience deploying or integrating LLM or agent-based systems in production is advantageous • Startup experience is advantageous

🏖️ Benefits

• Equity offered