Senior AI Engineer: LLMs & Agentic AI (Remote)

Applaudo; Santiago; Presencial; CLP 12.000.000 - 21.000.000; Jornada completa

Descripción de la vacante

Applaudo is seeking a Senior AI Engineer to build production-grade LLM and agentic AI applications. You will design, implement, and optimize capabilities for conversational experiences and intelligent workflows.

The role emphasizes collaboration across engineering and AI specialists, with a focus on tool calling, context management, and multi-step orchestration. You will work on integrating hosted LLM APIs, developing prompt strategies, and evaluating model performance while following best

Formación

• Senior-level experience building production AI applications with Python and LLM technologies.
• Experience designing and deploying conversational or agentic AI solutions.
• Professional English proficiency and ability to work remotely with overlapping business hours.

Responsabilidades

• Build and maintain MCP servers, tool definitions, and context management capabilities.
• Design and implement intent evaluation, classification, and routing workflows.
• Integrate Anthropic and OpenAI models into production environments.
• Manage prompt versioning, fallback strategies, and LLM performance optimization.
• Develop and maintain evaluation frameworks to validate model quality and production performance.
• Collaborate with software engineers and AI specialists to deliver production-ready AI solutions.
• Participate in architecture discussions and contribute to AI platform design.

Conocimientos

Python

LLM technologies

Agentic AI

Tool calling

Context management

Multi-step orchestration

English proficiency

Educación

Bachelor's degree in CS or related field

Herramientas

OpenAI API

Anthropic API

Hugging Face

AWS

Descripción del empleo

Applaudo is seeking a Senior AI Engineer to build production-grade LLM and agentic AI applications. You will design, implement, and optimize capabilities for conversational experiences and intelligent workflows.

The role emphasizes collaboration across engineering and AI specialists, with a focus on tool calling, context management, and multi-step orchestration. You will work on integrating hosted LLM APIs, developing prompt strategies, and evaluating model performance while following best