Senior Agentic AI Engineer

Job not on LinkedIn

🔥 2 minutes 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

• Lead the architectural design and deployment of scalable, resilient autonomous AI systems and multi-agent decision engines • Engineer and maintain high-throughput vector retrieval pipelines for RAG and semantic search • Establish real-time AI evaluation and observability pipelines to monitor model health, latency, drift, and bias • Develop interactive AI user interfaces using Streamlit, Chainlit, and React concepts • Integrate safety guardrails, MCP integrations, structured function calling, and regulatory compliance standards • Establish foundational AI engineering patterns • Mentor junior and mid-level software engineers • Collaborate across MLOps, cloud, and product teams

🎯 Requirements

• 5+ years of professional software development experience • 2–3 years dedicated directly to architecting and deploying production AI/ML systems and agentic workflows • Expert proficiency in Python • Expertise with multi-agent frameworks including LangGraph, CrewAI, ADK, and n8n • Expertise with vector databases including Pinecone and Weaviate • Experience with tool-calling paradigms • Hands-on experience evaluating and monitoring LLMs using LangSmith, AgentOps, or Langtrace • Familiarity with MLOps frameworks including MLflow and Kubeflow • Familiarity with multi-cloud environments including AWS, GCP, and Azure • Proven capability building AI frontends using Streamlit or Chainlit • Solid baseline understanding of modern React concepts • High accountability, strategic problem-solving skills, and a collaborative approach • Advanced English fluency, written and spoken, is mandatory

🏖️ 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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