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Backend AI Engineer

Job not on LinkedIn

🕒 September 16

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on BlueCloud's careers page, not through a job board

First seen by Remote Rocketship September 16

Still open on BlueCloud's site. Checked 7 hours ago.

Logo of BlueCloud

BlueCloud

501 - 1000 employees

Founded 2004

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

BlueCloud is a global tech company that specializes in transforming businesses through data, analytics, and generative AI. Their services include data engineering, analytics, software design, DevOps, and data governance, leveraging revolutionary AI technology to enhance decision-making and efficiency. As a recognized Data Cloud Services Growth Partner, BlueCloud provides end-to-end cloud solutions that empower organizations to maximize their data potential and support digital transformation through scalable and high-performing global teams.

📋 Description

• Design and build a next-generation reliability platform for the client's production systems • Build a centralized reliability command center providing a unified view of system health, risk, and reliability across services and environments • Create AI agents for incident triage, root-cause exploration, log/trace summarization, and recommended next actions • Create developer-facing features and APIs for data exploration, debugging, and decision-making • Use AI-assisted development tools to prototype, refactor, and ship high-quality code quickly • Own projects end-to-end, including requirements, architecture, implementation, testing, rollout, and iteration based on feedback • Collaborate with product, infrastructure, data, and SRE teams to translate pain points into solutions

🎯 Requirements

• 5+ years of experience in backend or full-stack engineering, with a track record of building and operating complex production systems • Strong proficiency in Python, with experience architecting data-intensive applications and robust APIs • Problem-solving and product sense; ability to take ambiguous requirements and rapidly iterate towards a working solution • Hands-on experience with AI-assisted development tools such as Cursor, Claude, or similar • Practical use of LLMs or AI frameworks to enhance automation and guidance with guardrails and citations

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