AI Engineer

🕒 July 8

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

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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Board of Innovation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Board of Innovation is an AI innovation consultancy focused on autonomous innovation. They help businesses reinvent growth strategies and operating models for the autonomous age by designing AI-powered engines and providing strategic guidance on AI integration. Their goal is to unlock new levels of growth, efficiency, and innovation through their AI Strategy Guide and other resources. Board of Innovation partners with leaders to pioneer AI-native transformations in various sectors, ensuring businesses are well-equipped to thrive in a rapidly evolving technological landscape.

📋 Description

• Design, implement, and ship AI systems that automate work, support decisions, and unlock new workflows for enterprise clients • Building multi-step agents and tool-using LLM systems • Wiring AI systems into structured and unstructured data sources • Packaging AI systems into services for consumption by other engineers and applications • Own the system evaluations, observability, and the feedback loops for iteration • Collaborate closely with strategists, engineers, and designers throughout the project lifecycle

🎯 Requirements

• 3+ years of experience shipping AI-powered systems in production • Background in computer science, math, physics, engineering, or another technical or scientific field • Strong in Python • Fluent in the patterns of modern LLM engineering: agents, MCP, skills, tool use, retrieval, structured outputs, and evals • Comfortable wrapping AI logic into services that other engineers can consume without surprises.