AI Engineer

🔥 17 hours ago

🌐 Colombia, Mexico – Remote

🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.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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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Design and deploy production-ready GenAI solutions, including RAG systems, intelligent assistants, and agentic workflows. • Engineer AI agent behavior, including tool use, context management, memory, routing, failure handling, and human oversight. • Integrate LLMs, APIs, enterprise applications, and data sources while balancing performance, latency, and cost. • Build evaluation frameworks, automated tests, and quality controls to measure AI reliability and detect regressions. • Monitor, troubleshoot, and continuously improve AI capabilities in production. • Document reusable engineering patterns and enable client teams to maintain and extend deployed solutions. • Collaborate with Software Engineers, Data Engineers, Architects, and Governance specialists.

🎯 Requirements

• Hands-on experience designing, developing, and deploying production-ready GenAI and LLM-based solutions. • Proven experience with RAG architectures, AI agents, and multi-step intelligent workflows. • Experience evaluating, monitoring, and optimizing AI systems for reliability, performance, and cost. • Strong software engineering background, including API development, testing, and enterprise integrations. • Strong Python programming and software development fundamentals. • LLM integration, prompt engineering, embeddings, retrieval, and grounding techniques. • AI agent orchestration, tool calling, context management, memory, and human-in-the-loop workflows. • LLM evaluation, automated testing, observability, and production monitoring. • Familiarity with cloud platforms (Azure, AWS, or GCP), CI/CD, and LLMOps/MLOps practices. • Experience with LangGraph, LangChain, LlamaIndex, or Semantic Kernel is nice to have. • Knowledge of multi-agent systems, multimodal AI, fine-tuning, or open-source models is nice to have. • Experience integrating AI with CRM, ERP, MCP, or enterprise automation platforms is nice to have. • Consulting experience or exposure to regulated industries is nice to have.

🏖️ Benefits

• International and multicultural projects. • Continuous learning and professional development. • Career growth and internal mobility opportunities. • A collaborative, innovative, and entrepreneurial culture. • Local benefits and working arrangements will be confirmed before publication.