LLM Engineer

• Build retrieval systems with chunking and embedding pipelines, hybrid search, reranking, and retrieval-quality evaluation
• Develop stateful, multi-step agentic workflows with tool calling, MCP servers, structured output enforcement, context-window management, deterministic fallbacks, and human-in-the-loop gates
• Create evaluation test sets, model-as-judge scoring, regression tracking, and error analyses
• Implement prompt-injection defense, output validation, guardrails, PII handling, and graceful degradation
• Deploy containerized systems on Azure or AWS with CI/CD and observability
• Own latency, cost, token, and throughput budgets
• Work inside client repositories and environments, including standups and occasional customer calls
• Build production AI systems that are reliable, measurable, and affordable for real users

LLM Engineer jobs in Chile

AI Engineer – Generative AI, Agents