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

• Develop production-grade AI agents, state management mechanisms, and multi-agent workflows • Connect AI agents to enterprise tools, APIs, and external platforms via Model Context Protocol and structured function calling • Implement and maintain high-performance RAG pipelines using vector databases, semantic search, chunking, and grounding strategies • Execute automated evaluations, regression testing, task-success metrics, and safety guardrails • Defend against prompt injection and sensitive-data exposure • Deploy LLM applications on AWS using Amazon Bedrock • Use observability platforms such as LangSmith, Langtrace, or AgentOps to troubleshoot failures and optimize performance • Write clean, maintainable, and testable Python code • Maintain comprehensive technical documentation • Collaborate with senior engineers, MLOps, and product teams

🎯 Requirements

• 3+ years of professional software development experience • Direct, hands-on experience building LLM-based, RAG, or agentic AI applications • Mastery of advanced Python • Mastery of AWS, including Amazon Bedrock • Experience with agentic frameworks such as LangGraph, CrewAI, or ADK • Experience with vector databases such as Pinecone or Weaviate • Knowledge of Model Context Protocol (MCP) • Hands-on experience testing, evaluating, and monitoring LLM execution using LangSmith, Langtrace, or AgentOps • Strong ownership mindset and analytical troubleshooting capabilities • Advanced English skills, written and spoken, mandatory • Collaborative approach to delivering high-impact software within cross-functional teams

🏖️ Benefits

• Agentic AI tools and training • Coursera Enterprise • Studio practice labs • 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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