AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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CodeRoad

WebsiteLinkedInAll Job Openings

1 - 10 employees

📚 Education

☁️ SaaS

Education • SaaS

CodeRoad is a comprehensive online training program that teaches JavaScript and front-end web development from zero to a Junior Front-End Developer level. Created and taught by Mateusz Choma, the course includes 175+ hours of video lessons, hands-on code examples in an in-browser editor, and covers HTML, CSS, JavaScript, React and Redux, plus community Q&A and optional one-on-one mentoring. The platform is self-paced and accessible 24/7, aimed at individuals seeking to start a career in front-end development.

📋 Description

• Design and deploy hierarchical multi-agent workflows using LangGraph • Transition legacy single-prompt applications into modular, autonomous systems • Build domain-specific sub-agents with dynamic, on-demand context-loading mechanisms • Optimize operational security, performance, latency, and token costs • Integrate scalable tool-calling capabilities and standardized connectors using the Model Context Protocol (MCP) • Manage and configure LangFuse for LLM reasoning traces, performance metrics, and cost allocation • Create regression testing suites and automated evaluation harnesses using PromptFlow or PromptFoo • Collaborate with security leads to integrate access controls and OWASP Top 10-aligned guardrail frameworks for LLM applications

🎯 Requirements

• 5+ years of professional backend software development experience, primarily centered around Python and scalable architecture • 2+ years of hands-on experience building production-grade AI agents or complex LLM workflows using LangGraph or LangChain • Deep experience working with foundation models including Anthropic Claude, OpenAI, and Google Gemini • Experience with open-weights models and advanced prompt engineering • Experience with Microsoft 365 Agents SDK • Direct experience setting up LLM observability platforms such as LangFuse • Experience with automated evaluation/testing frameworks • Practical knowledge of containerized deployments using Docker across cloud platforms like Azure • High ownership mindset and empathetic communication style • Advanced English proficiency, written and spoken • Ability to engage directly with U.S. engineering teams

🏖️ Benefits

• Continuous multi-project pipeline • Agentic AI tools and training • Coursera Enterprise • Studio practice labs • L1-L7 Career Framework • High-touch onboarding • Transparent leadership communication • Community recognition • Psychological safety • Holidays off • Paid time off • Health insurance assistance program • Opportunity to work with high-growth US-based companies and cutting-edge tech stacks

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