Home › Companies › Gorillalogic › Senior, AI Engineer - AA, Remote: Colombia - Costa Rica, Fulltime, Digital Product Development
Senior, AI Engineer - AA, Remote: Colombia - Costa Rica, Fulltime, Digital Product Development
Gorillalogic · Remote · Deleted · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Gorillalogic |
| Title | Senior, AI Engineer - AA, Remote: Colombia - Costa Rica, Fulltime, Digital Product Development |
| Normalized title | - |
| Department / team | Engineering |
| Location | - |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | BambooHR |
| Posted / first seen | 2025-12-16 / 2026-06-03 |
| Changed / last seen | 2026-06-06 / 2026-06-03 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Gorillalogic. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Gorillalogic |
| Source | d45ff664-5d5c-42ee-9d08-527843a67db5 |
| ATS provider | BambooHR |
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.
Nice to Have
Experience with data engineering, SQL, and relational databases.
Experience building or deploying solutions on Azure.
Background working with enterprise-scale systems and clients.
Full job record
| Job ID | 46ed25e68a2df9675eba91e17e4d5be1a043822e |
| Org ID | 8aa1e143-5d95-4de3-804b-6a87ad8394d6 |
| Source ID | d45ff664-5d5c-42ee-9d08-527843a67db5 |
| Board ID | d45ff664-5d5c-42ee-9d08-527843a67db5 |
| Provider | bamboohr |
| Provider Job Key | 141 |
| Title | Senior, AI Engineer - AA, Remote: Colombia - Costa Rica, Fulltime, Digital Product Development |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | — |
| Department | Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | — |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://gorillalogic.bamboohr.com/careers/141 |
| Apply URL | https://gorillalogic.bamboohr.com/careers/141 |
| First Seen At | 2026-06-03 10:36:08Z |
| Last Seen At | 2026-06-03 10:36:08Z |
| Last Checked At | 2026-06-06 08:49:37Z |
| Last Changed At | 2026-06-06 08:49:37Z |
| Inactive At | 2026-06-06 08:49:37Z |
| Source Posted At | 2025-12-16 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=bamboohr/board=gorillalogic/date=2026-06-03/2026-06-03T10-36-07-655Z-61340c6806a13f6a0e0ab2843c079dd44687e8e98d16a4e67b5139cb7ca2b8eb.json |
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"description": "<p>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.</p>\n<p>You’ll work closely with cross-functional teams to solve ambiguous problems, design scalable AI architectures, and deliver impactful solutions that meet enterprise standards.</p>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Responsibilities</span></p>\n<p><br></p>\n<p><br></p>\n<ul>\n<li>Design, develop, and deploy generative AI systems in production environments.</li>\n<li>Build and maintain robust evaluation frameworks to assess model performance, reliability, and safety.</li>\n<li>Design and optimize Retrieval-Augmented Generation (RAG) pipelines.</li>\n<li>Work with multiple LLMs, model providers, and AI frameworks to select the best solution for each use case.</li>\n<li>Develop agentic and multi-agent systems to solve complex workflows and reasoning tasks.</li>\n<li>Own the full lifecycle of enterprise AI projects, from discovery and prototyping to deployment and iteration.</li>\n<li>Collaborate closely with data engineers, backend engineers, product managers, and clients.</li>\n<li>Contribute to best practices, architecture decisions, and technical standards across AI initiatives.</li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Required Qualifications</span></p>\n<p><br></p>\n<p><br></p>\n<ul>\n<li>5+ years of industry experience, including 2+ years focused on generative AI systems<br>(10+ years total experience strongly preferred).</li>\n<li>Strong proficiency in Python.</li>\n<li>Proven experience delivering generative AI solutions to production in an enterprise setting.</li>\n<li>Evaluation frameworks and AI testing strategies</li>\n<li>RAG system development and optimization</li>\n<li>Agentic and multi-agent architectures</li>\n<li>Familiarity with a variety of LLMs, tools, and AI frameworks.</li>\n<li>Comfortable working end-to-end across the AI project lifecycle.</li>\n<li>Strong problem-solving mindset; able to move forward amid ambiguity.</li>\n<li>Collaborative, collegial, and delivery-focused.</li>\n</ul>\n<p><br></p>\n<p><br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Nice to Have</span></p>\n<p><br></p>\n<ul>\n<li>Experience with data engineering, SQL, and relational databases.</li>\n<li>Experience building or deploying solutions on Azure.</li>\n<li>Background working with enterprise-scale systems and clients.</li>\n</ul>",
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