Senior Software Engineer – AI Modernization

Job not on LinkedIn

🔥 1 hour ago

🌐 Mexico, Colombia – Remote

🇲🇽 Mexico – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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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Goods & Services

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

📣 Marketing

📦 Logistics

🏭 Manufacturing

Marketing • Logistics • Manufacturing

Goods & Services is a product design and digital engineering company that helps enterprises design, build, and scale AI-powered products, platforms, and customer experiences. They provide services across Data & Artificial Intelligence, Experience Strategy & Design, and Technology & Engineering (cloud, software, hardware), focusing on modernizing data infrastructure, building digital product ecosystems and global web systems, and delivering enterprise-grade cloud and platform engineering for market-leading B2B clients.

📋 Description

• Design, develop, maintain, and troubleshoot enterprise applications • Modernize legacy applications and convert older technology into current application architectures • Assess applications and determine whether functionality should be refactored, rebuilt, replaced, or migrated • Break modernization efforts into controlled, testable phases while preserving business functionality and reducing technical debt • Design and develop APIs, services, integrations, and reusable application components • Develop AI-enabled applications, workflows, assistants, agents, and automation solutions • Integrate AI/LLM capabilities into business applications and evaluate their accuracy, security, reliability, maintainability, and operational value • Work with database/data resources on data models, integrations, and performance • Investigate application defects and production issues through root cause and resolution • Review code and identify architecture, maintainability, security, and performance risks • Participate in technical design and architecture decisions • Create automated and manual testing for development and modernization work • Support DEV, TEST/UAT, and PROD releases • Define rollback or recovery approaches for significant production changes • Maintain technical documentation for applications, integrations, architecture, APIs, and deployment processes • Track status, estimates, blockers, risks, and target dates • Collaborate with BA, PM, DB/Data, Infrastructure, Applications, Security, and Support teams • Build AI-enabled internal tools and business applications • Work with LLM APIs and AI platforms • Develop AI agents and workflow automation • Implement structured prompting, tool/function calling, APIs, and application integration • Connect AI solutions to approved enterprise data sources • Design validation and human review for AI outputs affecting business decisions • Evaluate AI output quality and reliability • Implement logging, monitoring, access control, and failure handling • Move AI initiatives from prototype into supportable production solutions

🎯 Requirements

• Solid enterprise software development experience oriented to JavaScript, TypeScript, Go, and Python • Modern application architecture • Legacy application modernization • API design and integration • REST APIs and web services • SQL and relational database experience • Object-oriented application development • Git/source control • CI/CD and application deployment • Application troubleshooting and root cause analysis • Testing and release management • Secure application development • Experience integrating third-party systems and services • Experience with several AI skills, including LLM APIs, AI application development, AI agents, prompt engineering, tool/function calling, RAG, vector search/embeddings, AI workflow automation, enterprise AI integration, AI evaluation and validation, and Microsoft/Azure AI technologies • Preferred: Microsoft technology environment • Preferred: Azure/AWS • Preferred: Enterprise application modernization • Preferred: Healthcare or skilled nursing environments • Preferred: Internal business applications • Preferred: Large legacy application conversions • Preferred: Application and database integrations such as DynamoDB, MongoDB, and Aurora DB • Preferred: Automation platforms such as Jenkins • Preferred: Microsoft Power Platform/Copilot ecosystem

🏖️ Benefits

• Equal Opportunity Employer • Inclusive workplace committed to diversity • Nearshore model enabling speed, efficiency, and cultural alignment