Expert .NET Engineer, AI

🕒 February 27

🌐 Colombia, Costa Rica – Remote

🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 55%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gorilla Logic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

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

• Develop high-quality code aligned with sprint commitments and enterprise standards • Lead modernization initiatives, including migrating legacy .NET applications such as .NET 3.5 systems to .NET Core • Break apart monolithic applications into scalable microservices architectures • Design robust, scalable, and highly available systems that support evolving business needs • Ensure applications follow security-first principles to protect customer data • Collaborate with other architects to align designs with enterprise architecture standards • Produce architectural diagrams and system representations to communicate solution designs • Present technical roadmaps and architectural decisions to engineering teams and stakeholders • Design, build, and integrate AI agents and AI-powered workflows into enterprise applications and engineering processes • Develop multi-step agentic workflows where AI models reason across tasks, invoke tools, interact with APIs, process contextual information, and coordinate actions • Orchestrate AI agents and workflows using Claude Code or comparable tools, frameworks, LLM platforms, or orchestration technologies • Integrate AI capabilities with APIs, services, databases, development workflows, and enterprise systems • Build AI-driven automations improving developer productivity, operational efficiency, application capabilities, or business processes • Structure prompts, context, tools, instructions, and workflow logic for reliable agent behavior • Evaluate AI agents against traditional deterministic application logic • Address security, permissions, data privacy, observability, reliability, and error handling for enterprise AI agents • Prototype AI-enabled solutions and convert successful experiments into maintainable production implementations • Explain previous AI implementations, including problems, architectures, tools, integrations, orchestration, and outcomes • Write advanced SQL queries and optimize performance using indexing strategies and query plan analysis • Refactor legacy systems by moving business logic out of stored procedures when appropriate • Create and maintain DDL scripts and stored procedures • Ensure data integrity, scalability, and performance across relational and non-relational databases • Design and deploy solutions in Microsoft Azure • Work with Azure DevOps pipelines and Octopus for CI/CD automation • Apply DevOps best practices to improve deployment reliability and speed • Develop backend services using C#, .NET Core, .NET Framework, Web APIs, and service-based architectures • Build and support front-end applications using Angular, React, and Vue.js • Work with JavaScript, TypeScript, and Node.js environments

🎯 Requirements

• High school diploma or equivalent required • Bachelor’s degree in Computer Science or related field preferred • 8 to 10 years of software development experience with technical leadership responsibilities • Strong full-stack C# development experience within the Microsoft technology stack • Proven experience migrating legacy .NET systems to modern architectures • Advanced SQL skills including query optimization, indexing strategies, and performance tuning • Experience with CI/CD tools such as Azure DevOps and Octopus • Experience working with legacy technologies such as VB.NET is valuable • Hands-on experience with Angular and React, with exposure to Vue.js preferred • Strong Azure cloud development experience required • Hands-on experience building AI agents, agentic workflows, or AI-powered automation • Experience orchestrating AI workflows involving multiple steps, tools, APIs, services, or agents • Practical experience using Claude Code or comparable AI coding, agent development, or LLM tooling • Ability to provide clear examples of AI agents or workflows personally designed, developed, integrated, or orchestrated • Understanding of how LLM-powered capabilities can be safely and effectively integrated into enterprise applications • Experience with Anthropic Claude, Claude Code, Azure AI, OpenAI APIs, or other enterprise LLM platforms • Experience with AI orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, or similar technologies • Knowledge of VB6, MS SQL Server XML, XSL, ETL, Web Services, SOA, ASP.NET MVC, PowerShell, NoSQL and object databases • Azure cloud certifications preferred • AWS or Google Cloud certifications are a plus • Experience in financial services or other highly regulated industries is desirable • Strong communication skills with the ability to clearly explain complex architectural concepts to both technical and non-technical stakeholders • Ability to structure and articulate reasoning in a logical, easy-to-follow manner • Collaborative and approachable team player who contributes positively to team culture • Proactive problem solver with curiosity and determination in tackling complex challenges • Customer-focused mindset with strong attention to quality and testability • Ability to influence stakeholders and drive alignment in complex technical environments