LLM Engineer - Remote Work

BairesDev; Colombia; Remote; COP 388,400,000 - 582,600,000; Full time

Benefits offered by this job

100% remote work

USD compensation or local currency

Hardware and software setup for home

Job summary

BairesDev is hiring an LLM Engineer to design and build advanced applications powered by large language models, with focus on fine-tuning and retrieval-augmented generation (RAG).

You will translate complex business requirements into scalable AI solutions, ensuring outputs are accurate, production-ready, and cost-efficient. 100% remote work with flexible hours and competitive USD compensation.

Qualifications

• 4+ years of experience in Software Engineering, AI/ML, or Data Science.
• Proven experience with Large Language Models (LLMs), fine-tuning, and RAG.
• Strong English communication and collaboration skills.

Responsibilities

• Design and implement robust RAG architectures grounded in external knowledge bases.
• Develop and manage end-to-end LLM fine-tuning pipelines.
• Optimize prompts, evaluation frameworks, and context management for accuracy and efficiency.
• Build and deploy production-grade AI agents using LangChain and related frameworks.
• Collaborate with cross-functional teams to integrate generative AI features into products.
• Ensure model reliability and cost-efficiency with monitoring and inference optimization.

Skills

Software engineering experience

AI/ML

Data Science

RAG architectures

Prompt engineering

English proficiency

Tools

LangChain

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

LLM Engineer at BairesDev

As an LLM Engineer, you will design and build advanced applications powered by large language models, focusing on fine-tuning and retrieval-augmented generation (RAG). You will translate complex business requirements into high-performance AI solutions, ensuring that generative outputs are accurate, scalable, and production-ready.

What You'll Do:

• Design and implement robust RAG architectures to ground LLM responses in external knowledge bases.
• Develop and manage the full lifecycle of LLM fine-tuning pipelines to align model outputs with specific domain needs.
• Optimize system performance through advanced prompt engineering, evaluation frameworks, and context management.
• Build and deploy production-grade AI agents using modern orchestration frameworks like LangChain.
• Collaborate with cross-functional teams to integrate generative AI features seamlessly into existing product ecosystems.
• Ensure model reliability and cost-efficiency by implementing monitoring, validation layers, and inference optimization.

What we are looking for:

• 4+ years of experience in Software Engineering, AI/ML, or Data Science.
• Proven expertise in building and deploying applications powered by Large Language Models (LLMs).
• Hands-on experience with fine-tuning, RAG architectures, and prompt engineering.
• Proficiency with LLM frameworks such as LangChain or similar tools.
• Strong background in designing evaluation frameworks for model performance and accuracy.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.