Forward Deployed AI Engineer

🕒 July 22

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 14%

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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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Co-create solutions with business and technology stakeholders through workshops, rapid iterations, and hands-on delivery • Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows • Prototype, test, deploy, monitor, and improve solutions in real customer environments

🎯 Requirements

• 5 to 10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting • Hands-on experience delivering AI, GenAI, or software solutions in production • Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field — or equivalent practical experience

🏖️ Benefits

• Remote work • Professional development opportunities • Collaboration within a multicultural team