Dev/LLMOps Engineer (LATAM)

The Role

The role involves designing, deploying, and maintaining LLM platforms, developing AI systems, managing pipelines, and providing deployment guidance.

Overview

UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We’re seeking a highly skilled Dev/LLMOps Eng to join our growing team and contribute to our mission of launching the next wave of successful startups.

Technical Challenge

We're looking for a Dev/LLMOps Eng with a deep technical foundation and a passion for building agentic AI systems that integrate directly with Large Language Models (LLMs). This is an opportunity to drive the development of intelligent, autonomous agents that reason, plan, and interact with users in real time.

Responsibilities

• Own the strategy and execution of agentic AI systems using LLMs and autonomous decision-making components.
• Develop and scale prototypes into MVPs that demonstrate the real-world viability of complex AI ideas.
• Collaborate cross-functionally with engineers and product managers to embed LLMs and decision agents into user-facing features.
• Build and manage CI/CD pipelines for LLM training and deployment workflows.
• Provide technical guidance on DevOps and deployment strategies for AI models.

Requirements

• 7+ years of experience deploying and managing diverse machine learning and GenAI solutions in production.
• Proven experience with LLM integration, LLM-based agents, or related autonomous reasoning systems.
• Experience building and deploying end-to-end AI systems: from unstructured data cleansing to model training, evaluation, deployment, and monitoring.
• Databricks experience, familiarity with Langchain and Databricks GenAI capabilities is strongly recommended.
• Cloud Platforms: Experience with AWS, GCP, or Azure for access control, multi-tenant deployments and CI/CD pipelines, DevOps tools, deployment patterns and infrastructure management.
• Ability to move fast and learn fast, strong proficiency with agile, lean product development.