Senior AI Enablement Engineer

3 hours ago

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Logo of Gorilla Logic

Gorilla Logic

SaaS ‱ Enterprise ‱ Artificial Intelligence

Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.

📋 Description

‱ Design, prototype, and integrate AI-assisted developer workflows such as automated code review, PR drafting, or test generation ‱ Build proof-of-concepts that demonstrate measurable improvements in developer speed or reliability ‱ Experiment with AI agent frameworks to reduce toil such as running tests, triaging build failures, or responding to common questions in Slack ‱ Evaluate and integrate third-party AI assistants and IDEs within Gorilla Logic's developer environment ‱ Collaborate with Analytics and Product teams to instrument metrics for AI adoption, contribution to speed, and safety outcomes ‱ Partner with engineering teams to co-run AI pilots, collect feedback, and scale successful workflows into reusable paved paths

🎯 Requirements

‱ 5+ years in software engineering, developer experience, DevOps, or applied AI roles ‱ Proficiency in Python, Kotlin, Java, or similar languages ‱ Proficiency with AI developer tools such as Cursor, Claude Code, GitHub Copilot, OpenAI and Anthropic APIs ‱ Experience integrating APIs and plugins into CI/CD pipelines such as Buildkite, GitHub Actions, or Jenkins ‱ Understanding of cloud infrastructure (AWS preferred, including EKS, RDS, S3, and IAM) ‱ Experience working with LLM APIs, prompt design, and retrieval-augmented generation patterns

đŸ–ïž Benefits

‱ No benefits mentioned

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