Senior AI Engineer – Technical Lead

Gorilla Logic

. Design, develop, and implement AI pipelines and supporting infrastructure .

Posted 10/30/2026full-timeRemote • Colombia, Costa RicaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI pipelines and foundational frameworks, with a strong focus on AI architecture and troubleshooting. Proven ability to mentor teams and establish best practices for ongoing AI development.

Highest-signal resume keywords

AI Pipeline DevelopmentRAG Pipeline ImplementationAI Architecture DesignSoftware Engineering Experience in .NET or JavaTechnical Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Based Solutions DesignAI Infrastructure ImplementationFoundational Framework DevelopmentTroubleshootingProblem-Solving

Soft Skills

Technical GuidanceKnowledge TransferCollaboration

Industry Keywords

AI Testing MethodologiesGreenfield AI InitiativesTechnical Foundations

Tech Stack

Tools & technologies

Java.NET

About the role

Key responsibilities & impact

Design, develop, and implement AI pipelines and supporting infrastructure
Build and configure Retrieval-Augmented Generation (RAG) pipelines
Design and establish foundational frameworks and harnesses for 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 expertise

Requirements

What you’ll need

Strong hands-on experience designing and implementing AI-based solutions
5+ years of professional software engineering experience using .NET or Java
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 established from scratch
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

Benefits

Comp & perks

Remote work
Full-time employment