Senior AI Engineer / Technical Lead - AA

Gorilla Logic, Inc.; Colombia; Remote; COP 295,673,000 - 492,789,000; Full time

Job summary

Gorilla Logic, Inc. in Colombia or Costa Rica is seeking a Senior AI Engineer / AI Technical Lead to shape and scale our AI capabilities. You will own AI pipelines, design architectures, and guide the team as we build from the ground up in a fast-paced environment.

You will implement RAG pipelines, establish foundational AI frameworks, mentor engineers, and collaborate with product and engineering to integrate AI into new and existing solutions.

Qualifications

• 5+ years of professional software engineering experience using .NET or Java.
• Hands-on experience designing and implementing AI-based solutions.
• Experience building AI pipelines and supporting infrastructure.
• Ability to explain architectural decisions and evaluate approaches.
• Experience establishing AI foundations from scratch.

Responsibilities

• Design, develop, and implement AI pipelines and infrastructure.
• Build and configure Retrieval-Augmented Generation (RAG) pipelines.
• Establish foundational AI frameworks and harnesses for development.
• Make technical decisions on AI architecture and tooling.
• Troubleshoot complex technical challenges independently.
• Collaborate with engineering teams to integrate AI capabilities.
• Provide mentorship and knowledge transfer to the team.
• Contribute to AI testing and validation approaches.

Skills

Hands-on AI design

.NET or Java

AI pipelines

AI architectures

Foundational frameworks

Troubleshooting

Technical leadership

Greenfield AI

Tools

RAG pipelines

AI infrastructure

Job description

- This position is open to candidates located in Colombia or Costa Rica only -

We are looking for a highly experienced Senior AI Engineer / AI Technical Lead to help
establish and expand our AI engineering capabilities.The ideal candidate is a hands-on technical expert with experience designing and building AIsolutions from the ground up, rather than simply developing features within an existing AIinfrastructure.

This role requires strong technical ownership, independent problem-solving, and the ability towork in a fast-paced, startup-like environment where processes and technical foundations arestill evolving.The selected candidate will play a key role in establishing AI infrastructure, implementing AIpipelines, and transferring knowledge to the existing engineering team.

What you'll do

• Design, develop, and implement AI pipelines and supporting infrastructure.
• Build and configure Retrieval-Augmented Generation (RAG) pipelines.
• Design and establish the foundational frameworks and harnesses required to support AI development.
• Make technical decisions regarding AI architecture, implementation approaches, and tooling.
• Investigate and troubleshoot complex technical challenges independently.
• Establish technical foundations and best practices for ongoing AI development.
• Collaborate with engineering teams to integrate AI capabilities into existing or emerging solutions.
• Provide technical guidance, knowledge transfer, and upskilling to the internal team.
• Contribute to AI testing and validation approaches when aligned with the candidate's expertise.

Required Qualifications

• Strong hands-on experience designing and implementing AI-based solutions.
• 5+ years of professional software engineering experience using .NET or Java is a must.
  
• Demonstrated experience building AI pipelines and supporting infrastructure.
• Solid understanding of AI architectures and implementation practices.
• Experience designing and implementing foundational technical frameworks.
• Ability to evaluate technical approaches and explain architectural decisions.
• Strong troubleshooting and problem-solving capabilities.
• Experience working on projects where technical foundations needed to be establishedfrom scratch.

Preferred Qualifications

• Experience designing and implementing RAG pipelines.
• Experience establishing AI development frameworks or harnesses.
• Experience mentoring engineers and transferring technical knowledge.
• Familiarity with AI testing and validation methodologies.
• Previous involvement in Greenfield AI initiatives or early-stage technical environments.