Remote AI Engineer (LLM Systems & Automation)

Hire Latam LLC; Colombia; Remote; COP 97,700,000 - 117,025,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Job summary

Hire Latam LLC is seeking a Remote AI Automation Engineer to organize and improve AI tools and workflows. You’ll structure data, manage what information models receive, choose models for tasks, and test results for accuracy, speed, and cost, working directly with the founders.

This 100% remote role targets candidates based in Latin America, focusing on building end-to-end AI solutions with a stack that blends automation platforms and custom code. Collaboration with leadership is foundational.

Qualifications

• Hands-on experience building, debugging, and deploying automation workflows in n8n.
• Understanding of context engineering.
• Understanding of model differences.
• Full ownership of AI systems built and improved.
• Integrations with RESTful APIs, webhooks, and databases.
• Hands-on experience with LLM endpoints and prompts.
• Auditing and validating AI-generated code for reliability and security.
• Strong analytical problem-solving for practical, maintainable solutions.
• Advanced English proficiency for collaboration with founders and teams.

Responsibilities

• Structure data: convert documents and conversations into usable, consistent data.
• Manage context: decide what instructions and tools each model needs at each step.
• Choose models and organize the work: assign tasks, optimize cost vs. quality.
• Measure performance: track accuracy, errors, token usage, cost, and latency.
• Keep improving the setup: build tests and compare new vs. current systems.
• Make the tools usable: provide clear instructions and reusable components.

Skills

n8n workflow mastery

Context engineering

Model differences understanding

AI systems ownership

Integrations & API

AI & LLM integration

Code validation & debugging

Pragmatic problem solving

Advanced English

Remote infrastructure

Tools

n8n

Job description

Job Title: Remote AI Automation Engineer (LLM Systems & Automation) (100% Work From Home)

Location: Remote from Latin America

Position Type: Full-time

Salary: Up to $3,000 USD/month (depending on experience and technical assessment)

Schedule: Schedule flexibility based on project needs; aligned with core leadership hours.

Job Overview

Our Client is a forward-thinking digital media and technology organization dedicated to leveraging cutting-edge automation, artificial intelligence, and custom software solutions to drive business performance. Operating with a lean, agile structure, our client focuses on converting complex operational challenges and strategic goals into high-impact, reliable tools. By combining low-code automation platforms with custom development and LLM capabilities, they foster a culture of resourcefulness, rapid deployment, and practical execution. They are looking for a hands-on engineer to organize and improve our existing AI tools and workflows. You'll structure data, manage what information each model receives, choose models for different tasks, and test results for accuracy, speed, and cost. You'll work directly with the founders and help the team use these tools.

The Role

We're looking for a hands-on engineer to organize and improve our existing AI tools and workflows. You'll structure data, manage what information each model receives, choose models for different tasks, and test results for accuracy, speed, and cost. You'll work directly with the founders and help the team use these tools.

Our Client is seeking a hands-on engineer to organize and improve their existing AI tools and workflows. You'll structure data, manage what information each model receives, choose models for different tasks, and test results for accuracy, speed, and cost. You'll work directly with the founders and help the team use these tools. Working directly alongside the company founder, this professional will evaluate technical requirements, select the optimal stack (combining automation platforms, custom code, and LLM integrations), and take full ownership of building, testing, and deploying end-to-end solutions.

Key Responsibilities

Workflow Automation & System Integration

• Builds, tests, troubleshoots, and maintains scalable workflows and automations using n8n.
• Integrates REST/GraphQL APIs, webhooks, relational/non-relational databases, and diverse third-party platforms.
• Evaluates technical trade-offs to choose the simplest, most effective architecture balancing low-code automation with custom script development.

Custom Development & AI/LLM Implementation

• Implements LLM capabilities and AI model integrations directly into core business operations, reporting systems, and research tools.
• Uses AI-assisted coding tools to accelerate development while independently reviewing, debugging, validating, and testing all generated code for accuracy and security.
• Translates broad business targets into incremental technical releases, validating core assumptions early in the development cycle.
• Conducts rigorous quality assurance to test solutions against edge cases, common failure modes, data integrity risks, and usability bottlenecks.
• Manages client credentials, sensitive data, and environment configurations in strict accordance with security best practices.
• Produces clear, concise system documentation to ensure solutions remain maintainable and operational long after initial deployment.

Central Responsabilities of the role

• Structure data. Turn documents, conversations, and other source material into consistent, usable data, preserving source references and client access boundaries.
• Manage context. Decide what instructions, information, tools, and previous work each model needs at each step. Preserve useful context across longer projects and reduce unnecessary processing. This is often called context engineering.
• Choose models and organize the work. Decide which model handles each task, the order of the steps, and the handoffs between them. Use lower-cost models where tests show they meet the quality standard.
• Measure performance. Track accuracy, errors, token usage, subscription limits, cost, and completion time. Find where our systems waste resources or produce unreliable results.
• Keep improving the setup. Build repeatable tests for our actual tasks. Compare new models with the current setup and introduce improvements after checking that existing work still runs correctly.
• Make the tools usable for the team. Stabilize and connect workflows using reusable components and consistent build methods. Provide clear instructions and demonstrations, and improve the tools based on team feedback.

Qualifications, Skills, and Key Competencies

Required Qualifications

• n8n & Workflow Mastery: Demonstrated, hands-on experience building, debugging, and deploying real-world automation workflows in n8n.
• Understanding of context engineering
• Understanding of Model differences
• Full ownership of the AI systems built: improve how they work together, and make them usable for the internal team
• Integrations & API Expertise: Proven track record working with webhooks, RESTful APIs, database connections, and third-party software ecosystems.
• AI & LLM Integration Experience: Hands-on experience embedding LLM endpoints, AI capabilities, and prompt architectures into practical workflows.
• Code Validation & Debugging: Ability to audit and validate AI-generated code critically rather than relying on automated outputs without verification.
• Pragmatic Problem Solving: Strong research skills and an engineering mindset focused on delivering practical, maintainable solutions rather than over-engineering.
• Advanced English Proficiency: high-level written and verbal English skills to collaborate effectively with founding leadership and technical teams.
• Remote Infrastructure: Dedicated quiet workspace equipped with a high-performance computer, reliable backup systems, and high-speed internet.

Preferred Qualifications

• Preferred residency in Mexico (open to qualified candidates across Latin America).
• Prior portfolio demonstrating completed AI workflows, custom script builds, or automated operations tools.
• Competitive Salary: Compensation up to $3,000 USD/month based on experience.
• High Impact & Autonomy: Direct ownership of end-to-end technical solutions with minimal administrative friction.
• Direct Executive Collaboration: Work directly with the practice founder to shape technical strategy and operational roadmaps.
• 100% Remote Infrastructure: Execute advanced AI and automation workflows remotely from anywhere in Latin America.