Senior Agentic AI Engineer

Job not on LinkedIn

🔥 1 hour ago

💃 Latin America – Remote

⏰ Full Time

🟠 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, develop, and scale autonomous agentic workflows and multi-agent systems using LangGraph, CrewAI, or Agent Development Kit (ADK) • Own cloud deployment and security architecture of LLM-powered applications on AWS using Amazon Bedrock and scalable microservices • Connect AI agents to enterprise APIs, data sources, and deterministic tools via Model Context Protocol (MCP) and workflow platforms such as n8n • Build high-performance RAG pipelines and vector database integrations using Pinecone or Weaviate for contextual retrieval and reranking • Implement end-to-end evaluation, guardrails, and security measures, including task-success metrics, hallucination checks, and prompt-injection protection • Lead system observability using LangSmith, Langtrace, or AgentOps • Mentor engineering PODs in Python and AI development best practices • Transform business requirements into scalable, secure, and reliable agentic solutions on AWS • Guide nearshore development teams through the production AI deployment lifecycle

🎯 Requirements

• 5+ years in professional software engineering • 2–3+ years dedicated to LLM application engineering and agentic AI systems • Advanced Python • AWS and Amazon Bedrock • LangGraph / CrewAI • Vector databases including Pinecone or Weaviate • RAG architecture • MCP integration • Hands-on experience with LangSmith, Langtrace, or AgentOps • Experience with evaluation frameworks for LLM groundedness and accuracy • Strong ownership mindset and technical leadership • Ability to mentor developers and articulate complex architecture to non-technical stakeholders • Advanced English (written and spoken) is mandatory

🏖️ Benefits

• 100% remote: Work from anywhere in Latin America • Observe local national holidays • Generous PTO policies for rest and personal time • Financial support for healthcare coverage • Competitive USD compensation pegged to the US Dollar • Continuous career evolution within high-impact global projects

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