Key Facts

Remote From:

Costa Rica , Colombia

Category: Digital Product Manager

Full time

Senior (5-10 years)

English

Hard Skills

Generative Artificial Intelligence Python (Programming Language) Model Validation AI Testing Multi-Agent Systems Data Engineering SQL (Programming Language) Microsoft Azure Enterprise Integration

Other Skills

•
Reliability
•
Problem Solving
•
Collaboration

Roles & Responsibilities

5+ years of industry experience, including 2+ years focused on generative AI systems
Strong proficiency in Python
Proven experience delivering generative AI solutions to production in an enterprise setting
Familiarity with a variety of LLMs, tools, and AI frameworks

Requirements:

Design, develop, and deploy generative AI systems in production environments
Build and maintain robust evaluation frameworks to assess model performance, reliability, and safety
Design and optimize Retrieval-Augmented Generation (RAG) pipelines
Own the full lifecycle of enterprise AI projects, from discovery and prototyping to deployment and iteration

Gorilla Logic

About Gorilla Logic

For more than 20 years, Gorilla Logic has partnered with leading enterprises across industries to help define, architect, and deliver their most important digital products and platforms. Our deep technical and domain expertise and proven approach enable clients to efficiently innovate, scale, and modernize—creating secure products that their customers love. With headquarters in the U.S. and nearshore development hubs across Latin America, our highly collaborative Agile teams bring a distinctive culture of tech-obsession and problem-solving to our clients’ projects. Everyone at Gorilla Logic strongly believes that when our colleagues and clients win, we all win, which makes for a spirit of partnership unique in our industry. To learn more, visit www.gorillalogic.com. Interested in a career with Gorilla Logic? Check here for our current job openings, and to submit your resume: https://gorillalogic.com/careers/

Company type: SME

Founded: 2018

Company size: 501 - 1000

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Job description

We are looking for a Senior Generative AI Engineer to design, build, and deploy production-grade generative AI solutions for enterprise clients. This role requires deep hands-on experience with modern LLM-based systems and the ability to take projects from concept to production in complex, real-world environments.

You’ll work closely with cross-functional teams to solve ambiguous problems, design scalable AI architectures, and deliver impactful solutions that meet enterprise standards.

Responsibilities

Design, develop, and deploy generative AI systems in production environments.
Build and maintain robust evaluation frameworks to assess model performance, reliability, and safety.
Design and optimize Retrieval-Augmented Generation (RAG) pipelines.
Work with multiple LLMs, model providers, and AI frameworks to select the best solution for each use case.
Develop agentic and multi-agent systems to solve complex workflows and reasoning tasks.
Own the full lifecycle of enterprise AI projects, from discovery and prototyping to deployment and iteration.
Collaborate closely with data engineers, backend engineers, product managers, and clients.
Contribute to best practices, architecture decisions, and technical standards across AI initiatives.

Required Qualifications

5+ years of industry experience, including 2+ years focused on generative AI systems
(10+ years total experience strongly preferred).
Strong proficiency in Python.
Proven experience delivering generative AI solutions to production in an enterprise setting.
Evaluation frameworks and AI testing strategies
RAG system development and optimization
Agentic and multi-agent architectures
Familiarity with a variety of LLMs, tools, and AI frameworks.
Comfortable working end-to-end across the AI project lifecycle.
Strong problem-solving mindset; able to move forward amid ambiguity.
Collaborative, collegial, and delivery-focused.