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Executive Operations Assistant (part-time)

Remoto

Executive Operations Assistant (Administrative, CRM, and Marketing Execution Support) We are hiring a remote Executive Operations Assistant to support the founders and help manage the day-to-day operations of the business. Role Overview You will act as an extension of the founders. Your job is to reduce friction, create structure, and ensure follow-through across administrative work, operations, CRM management, and marketing execution. You will often receive notes, partial instructions, or verbal direction. You are expected to clarify intent, organize work, and execute cleanly without waiting for perfect instructions. This role requires proactive behavior. You are expected to take initiative, move forward independently, and keep things progressing without constant oversight. Core Responsibilities Executive & Administrative Support • Manage calendars and schedule meetings across U.S. time zones. • Coordinate meeting agendas and ensure meetings are properly framed in advance. • Review AI-generated meeting notes and extract: o Action items o Owners o Deadlines • Track follow-through on all agreed actions. • Join internal and client video calls when needed to support coordination and execution. • Help keep meetings organized and ensure next steps are clear. • Coordinate travel planning when assigned. Daily Rhythm and Accountability • Send a brief daily check-in at the start of the day: o What is scheduled o What matters most • Send a brief end-of-day update: o What was completed o What is blocked o What needs attention next • Proactively remind leadership of deadlines, commitments, and open items. • Demonstrate consistent follow-through without requiring supervision. Sales, CRM, & Operations Support • Engage and follow up with clients as part of the sales cycles • Maintain accurate records in the CRM. • Log contacts, notes, tasks, and follow-ups. • Assist with outreach coordination on behalf of leadership when directed. • Coordinate with: o Independent sales agents o Vendors and partners o Internal stakeholders, including bookkeeping and accounting • Ensure operational details are tracked, organized, and completed. Marketing and LinkedIn Execution • Manage and execute LinkedIn activity for the company. • Assist with planning and executing marketing campaigns. • Draft posts, coordinate review, and schedule content. • Help develop simple storyboards and outline creative concepts. • Support execution of marketing initiatives based on provided direction. Tools and Systems You will work primarily in: • Microsoft 365: Outlook, Teams, Word, Excel, SharePoint • CRM systems • LinkedIn • Microsoft Copilot Familiarity with modern AI tools and workflows is expected. How You Work • You think critically, not just complete tasks. • You are proactive and take initiative without being asked. • You do not wait for perfect instructions to get started. • You ask clear, direct questions when something is unclear. • You notice gaps and speak up. • You track work through to completion. • You communicate clearly in writing and on video. • You are comfortable participating in live video calls with leadership and clients. Required Qualifications • Fluent English speaker (written and verbal). • Strong communication skills. • Comfortable working directly with founders and clients. • Strong organizational and follow-through skills. • Confident using modern productivity tools. • Ability to work overlapping U.S. business hours. • Comfortable on video calls and participating in meetings. • Light graphic design experience (Canva or similar tools). • Basic understanding of cybersecurity best practices, including: o Recognizing phishing attempts o Using multi-factor authentication o Maintaining secure handling of information Nice-to-Have Experience • Executive Assistant, Administrative, or Operations Coordinator experience. • Experience with CRM systems. • Marketing or social media execution experience. • Experience working with U.S.-based companies. • Experience in a professional services or consulting environment. Role Structure • Remote contractor position. • Must overlap with U.S. business hours (Pacific, Mountain, Central, and Eastern). • Open to candidates based in Central and South America. • Reports directly to the founders. • Initial probationary period to confirm mutual fit. In the beginning hours are expected to be 20 hours per week; and will grow to 30+ hours over time

Senior Ruby / React Full Stack Engineer

Remoto

We have a new urgent request from one of our strategic clients based in the U.S. This is a long-term role, and we are open to candidates from Mexico, Colombia, and Argentina. ABOUT THE ROLE We are seeking an experienced and forward-thinking Senior Software Engineer to join our Engineering team in delivering reliable, scalable, and high-quality digital products. This role will contribute to the design, development, and evolution of our technology platforms, leveraging modern engineering practices, cloud-native architectures, and AI- assisted development tools. The ideal candidate is a strong technical leader and hands-on engineer who can influence system design and architecture, write high-quality, maintainable code, and drive best practices throughout the software development lifecycle. This individual will collaborate closely with cross-functional teams, contribute to technical decision-making, and help continuously improve engineering processes, performance, and scalability. WHAT YOU'LL DO As a Senior Software Engineer on our team, you will: ● Design and build scalable, performant, secure, and highly available systems in a continuous delivery environment ● Write clean, modular, and maintainable code with unit test coverage ● Implement strategies for standardizing design patterns to accelerate development velocity across the team ● Take ownership of your work and deliver high-quality results ● Collaborate with cross-functional teams and participate in all phases of the software development lifecycle (SDLC) ● Help influence and prioritize work to enable efficient, iterative delivery ● Translate high-level strategies into actionable engineering tasks in partnership with product and engineering leadership ● Identify bottlenecks and system constraints, and proactively drive solutions ● Reduce technical debt and improve the developer experience to keep systems modern, fast, and maintainable ● Produce technical documentation, schematics, and architecture diagrams ● Advocate for and implement best practices in testing, code quality, performance, and tooling ● Participate in code reviews, pair programming, and knowledge-sharing initiatives ● Use monitoring, metrics, and logging to troubleshoot and resolve production issues with your team WHAT WE'RE LOOKING FOR ● 5+ years of technical expertise, including recent experience architecting, designing, and developing technology platforms using Ruby on Rails, Node.js, JavaScript, and TypeScript ● 3+ years of experience working with relational and NoSQL database platforms (MySQL, MongoDB) ● Some experience with modern caching technologies (Redis preferred) ● Experience working in a geographically dispersed team within a collaborative, team-driven Agile software engineering environment ● Experience developing and deploying applications in cloud environments, including familiarity with cloud-native architectures and services ● Strong understanding of software engineering best practices and design patterns ● Ability to work across multiple technologies and platforms ● Ability to write high-quality, modular, maintainable, secure, and testable code ● Familiarity with testing best practices, including unit and integration testing ● Experience with frontend frameworks such as Vue.js, Vuetify, or Angular ● Experience designing and building APIs (REST, GraphQL) ● Experience with background processing tools such as Sidekiq ● Strong understanding of service-oriented and/or microservices architectures (event-driven patterns are a plus) ● Ability to contribute and grow within a team-oriented environment, with strong intellectual curiosity and a desire for continuous learning BONUS POINTS FOR ● Experience leveraging AI-assisted development tools or integrating AI/ML capabilities into products or engineering workflows ● Experience with and developing for the Raspberry Pi platform ● Experience developing mobile applications for iOS and Android ● Experience working in high-availability, high-traffic production environments ● Experience developing or integrating with movie theater or entertainment systems ● Experience working with CRM, loyalty, and membership solutions ● Experience integrating payment platforms, including EMV and card reader integrations ● Experience with monitoring, logging, and observability tools ● Understanding of the “Fail Fast, Learn Fast” mindset and continuous improvement

Senior AI Fullstack Platform Engineer

Buenos Aires - Remoto - Part-TimeBrasil - Remoto - Part-Time

Sr. AI-native full-stack engineer to help build and scale intelligent decision systems across Responsabilities: • Design and build scalable backend systems and APIs • Develop AI orchestration workflows using Gemini and modern LLM frameworks • Build real-time data and signal pipelines on GCP • Integrate mobile applications, AI services, and cloud infrastructure • Optimize performance, reliability, observability, and cost Ideal Experience: • Python and TypeScript • GCP (Cloud Run, Cloud SQL, Vertex AI) • AI/LLM systems and agentic workflows • Distributed systems and API architecture • Startup experience and product ownership mentality This person will become a foundational technical partner responsible for turning real-world signals into intelligent decisions and actions.

Vehicle & Embedded Systems Engineer

Remoto
Argentina - Remote - Part-timeBrasil - Remote - Part-time

We are looking for an engineer passionate about the future of mobility, connected experiences, and intelligent sensing systems. Responsibilities: • Develop integrations with vehicle and mobility platforms • Build software for in-car signals and contextual intelligence • Design and integrate accessories that act as signal generators • Work with BLE, IoT, sensors, and edge computing • Build data pipelines between hardware, vehicles, and cloud systems Ideal Experience: • Embedded systems and IoT development • BLE and sensor technologies • Automotive software or mobility systems experience • Edge computing and telemetry • Experience building hardware-software integrations This role will help define the next generation of contextual pet mobility experiences and intelligent mobility ecosystems.

Python Developer - Web Scrapping | Globant

Remoto
Uruguay - RemoteArgentina - RemoteChile - Remote

We are looking for an experienced Python Developer with expertise in web scraping, automated portal interactions, and cloud-native deployment using AWS. The ideal candidate will have hands-on experience working with Playwright for browser automation, managing multi-factor authentication (MFA) flows, and deploying scalable scraping tasks via AWS Lambda and related services. You will assist in architecting and building robust, secure, and scalable scraping solutions that interact with complex web applications and secured portals. Key Responsibilities: ● Assist with the design and implementation of advanced scraping solutions using Python, Playwright, and AWS services. ● Automate interactions with JavaScript-heavy and authentication-secured websites, including handling MFA, CAPTCHAs, and session/token-based login flows. ● Architect scraping pipelines using serverless AWS components such as Lambda, Step Functions, S3, CloudWatch, and Secrets Manager.● Build systems that scale to support high volumes of data extraction with fault tolerance, retries, and intelligent logging. ● Integrate and manage complex workflows across multiple portals, APIs, and data sources. ● Contribute to architectural decisions, tooling, and best practices. Required Skills: ● 5+ years of experience in Python development, with a strong focus on automation and data extraction. ● Proven expertise in web scraping using tools like Playwright, Selenium, Scrapy, BeautifulSoup, and requests. ● In-depth experience handling multi-step authentication flows, including multi-factor authentication (MFA), CAPTCHA solving, and session/cookie management. ● Proficient in deploying and managing scraping workloads in AWS, particularly, Lambda, S3, IAM, CloudWatch, and Secrets Manager. ● Experience with asynchronous programming, headless browsers, and JavaScript-rendered content. ● Solid understanding of web protocols (HTTP, HTTPS, cookies, headers), and ability to reverse-engineer network calls and authentication mechanisms. ● Comfortable working with APIs, JSON/XML, and data transformation. Preferred Qualifications: ● Experience with CI/CD pipelines, Docker, and infrastructure as code (e.g., CloudFormation, Terraform). ● Familiarity with data pipeline orchestration tools such as Apache Airflow or AWS Step Functions. ● Prior experience scraping from secure or enterprise-level portals (e.g., financial, healthcare, legal). ● Background in data engineering or ETL workflows is a plus. ● Exposure to Python testing frameworks and writing unit/integration tests. Education: ● Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience

Senior Site Reliability Engineer/Platform Engineer

Remoto
Colombia, remotoMéxico, remoto

Senior Site Reliability Engineer/Platform Engineer We are looking for a highly hands-on Senior Site Reliability Engineer/Platform Engineer to improve the reliability, scalability, and operational maturity of our technology environment. This is not solely an infrastructure administration role. The person will combine strong systems and cloud/platform expertise with software engineering skills to design, build, and automate the services that support our engineering organization. A key part of the role will be connecting and enhancing observability systems across the environment—building integrations, automation, dashboards, alerting workflows, and reliability tooling that give teams actionable visibility into system health and performance. You will partner closely with engineering and infrastructure stakeholders to strengthen platform reliability, reduce operational friction, improve incident response, and establish scalable foundations for future product and AI initiatives. Key Responsibilities Build, maintain, and automate platform capabilities that improve system reliability, scalability, and developer productivity. Develop code, scripts, integrations, and internal tooling to connect observability, monitoring, alerting, and incident-management systems. Design and evolve observability practices across logs, metrics, traces, dashboards, alerting, and service health reporting. Improve CI/CD, deployment automation, environment consistency, and operational workflows through Infrastructure as Code and automation. Own reliability-focused initiatives including incident response, root-cause analysis, capacity planning, disaster recovery, backup strategy, and service resilience. Partner with software engineers to establish SRE standards, production readiness practices, and service-level objectives. Support and modernize core infrastructure, including cloud, virtualized, networked, and on-premise environments where applicable. Identify repetitive operational work and proactively replace it with scalable, maintainable automation. What We’re Looking For Strong software engineering experience, ideally with Python, Go, JavaScript/TypeScript, or a similar language used for automation and integrations. Deep experience with cloud/platform engineering, Infrastructure as Code, CI/CD, containers, and production operations. Hands-on experience with observability tooling such as Datadog, Grafana, Prometheus, ELK/OpenSearch, New Relic, Splunk, or similar platforms. Experience building monitoring integrations, alerting workflows, dashboards, operational APIs, or internal developer tools. Strong understanding of SRE principles, incident management, reliability engineering, and operational best practices. Ability to operate independently, set technical direction, and work across both infrastructure and software engineering teams. 3-6 month engagement (possibility extension) Location: Mexico and Colombia

AI Product Manager (Insurtech)

Remoto
colombia - remoto, argentina - remoto, méxico - remoto, brazil - remoto

We are partnering with a fast-growing, technology-driven insurance company that has recently completed a major cloud and data transformation and is now focused on scaling AI initiatives that drive measurable business impact. This role is ideal for an experienced AI Product Manager, AI Strategy Lead, or Digital Transformation Consultant who can bridge the gap between executive stakeholders, business objectives, and AI delivery teams. What You'll Do Lead AI roadmap prioritization and strategic planning workshops with senior leadership. Evaluate and prioritize AI initiatives based on business value, ROI, complexity, and market differentiation. Drive AI products from proof-of-concept through production deployment and adoption. Define KPIs, success metrics, and ROI frameworks for every AI initiative. Partner with engineering teams to ensure governance, quality standards, and scalable AI delivery. Manage AI operational costs, including cloud consumption and LLM/token economics. Identify opportunities for automation, predictive analytics, AI copilots, and decision-support solutions. Key Areas of Focus AI Product Strategy & Roadmapping Generative AI & LLM Applications AI Governance & Responsible AI Business Case Development & ROI Analysis Executive Stakeholder Management Digital Transformation & Innovation Insurance Operations, Underwriting, Claims, and Risk Analytics Required Experience Proven track record delivering AI products from experimentation to production with measurable business outcomes. Strong product management, consulting, or transformation leadership experience. Experience facilitating workshops and presenting recommendations to C-level executives. Ability to translate business challenges into scalable AI solutions and prioritize competing initiatives. Strong understanding of AI implementation costs, governance, and operational scalability. Preferred Background Insurance, Insurtech, Financial Services, Risk Management, or highly regulated industries. Experience with Azure AI, Microsoft Copilot, Azure OpenAI, or enterprise AI platforms. Familiarity with AI governance frameworks, architecture reviews, and development quality controls. Consulting experience (strategy, transformation, innovation, or digital advisory).

Data Cloud Engineer

Remoto
Argentina - RemotoColombia - RemotoPerú - RemotoMéxico - RemotoVenezuela - RemotoEcuador - Remoto

Sobre el rol Estamos buscando un/a Cloud Data Infrastructure Engineer para evolucionar un stack tradicional de DevOps hacia una plataforma de datos de alto rendimiento en AWS. La misión del rol es garantizar que los equipos de Data Engineering y Data Analytics cuenten con una infraestructura automatizada, segura y escalable que permita absorber proyectos de datos actuales y futuros desarrollos en ML. Requerimentos 3 a 4 años de experiencia en roles de infraestructura (DevOps / SRE) y al menos 2 años de experiencia directa trabajando con pipelines de datos (ETL/ELT), migraciones y/o streaming. Experiencia en migraciones de datos desde entornos On-Premise a Cloud. Experiencia sólida con Terraform o CloudFormation. Experiencia configurando servicios de datos en AWS (Glue, DMS, Kinesis, Athena, Step Functions). Dominio de AWS Lambda y Python para automatización y ETL. Experiencia trabajando con CI/CD (GitHub Actions). Conocimiento sólido de seguridad en AWS y gestión de compliance. Experiencia en entornos MSP o multi-cliente (altamente valorado). Experiencia en industrias con datos sensibles o masivos (financiero / retail). Deseables Certificaciones en AWS Responsabilidades Diseñar, auditar y evolucionar infraestructura como código (Terraform / CloudFormation) para soportar servicios de datos. Configurar y optimizar servicios de AWS para pipelines y streaming de datos: DMS, AWS Glue, Athena o Step Functions Implementar y mantener procesos serverless con AWS Lambda (Python) para ETL y automatizaciones. Habilitar entornos de trabajo para Data Engineers y Analysts, asegurando permisos, conectividad y escalabilidad sin fricciones. Administrar flujos CI/CD (GitHub Actions) bajo prácticas de GitOps. Garantizar cumplimiento de estándares de seguridad y compliance (GuardDuty, Security Hub). Colaborar activamente en la resolución de bloqueos técnicos en procesos de ingesta y ETL.

Cloud Engineer

aws cloud engineer

Desarrollador Salesforce - 100% Remoto

Remoto
Argentina

Sobre el puesto Estamos buscando un/a Salesforce Developer Sr para participar en el diseño, desarrollo e implementación de soluciones empresariales complejas sobre la plataforma Salesforce. El rol requiere una visión integral del ecosistema, participando en todo el ciclo de vida de desarrollo, desde el relevamiento de requerimientos hasta el despliegue y soporte post-producción. La persona trabajará en la construcción de soluciones escalables, integraciones con sistemas externos y en la mejora continua de procesos dentro de la plataforma. Responsabilidades Traducir requerimientos de negocio en soluciones técnicas escalables dentro de Salesforce. Desarrollar soluciones utilizando: Apex (clases, triggers, controladores) y Lightning Web Components (LWC) Diseñar y construir integraciones con sistemas externos mediante APIs (REST, SOAP, Pub/Sub). Optimizar procesos priorizando herramientas declarativas como Flow Builder. Participar en revisiones de código y asegurar buenas prácticas de desarrollo. Garantizar una alta cobertura de pruebas unitarias. Mentorear a desarrolladores junior y semi senior. Gestionar despliegues y versionado utilizando herramientas de CI/CD (GitHub Actions, Copado, Salesforce CLI).

IAM Analyst Ssr

Remoto
Argentina - RemotoColombia - RemotoPerú - RemotoMéxico - RemotoVenezuela - RemotoEcuador - Remoto

Sobre el rol Estamos buscando un/a IAM Analyst SSR para sumarse a un equipo de seguridad con foco operativo, participando en la gestión diaria de identidades, accesos y autenticación dentro de una organización global. La posición tendrá un fuerte componente de operación y mejora continua, siendo responsable de administrar el ciclo de vida de usuarios, gestionar solicitudes de acceso y colaborar en la optimización de procesos relacionados con Identity & Access Management (IAM). Buscamos una persona organizada, con capacidad para trabajar en entornos dinámicos y de alto volumen, interactuando diariamente con usuarios y equipos internacionales. Requerimentos +2 años de experiencia en roles de Identity & Access Management (IAM). Experiencia gestionando procesos de ciclo de vida de usuarios (JML). Experiencia trabajando en entornos operativos de alto volumen. Experiencia administrando plataformas de identidad: Microsoft Entra ID (Azure AD) / AWS Identity & Access Management (IAM) Experiencia implementando y dando soporte a soluciones de Single Sign-On (SSO). Conocimiento de protocolos de autenticación: SAML / OAuth 2.0 / OpenID Connect (OIDC) / LDAP Experiencia utilizando herramientas de ticketing (Jira o similares). Experiencia realizando troubleshooting de autenticación y accesos. Inglés avanzado (oral y escrito). Responsabilidades Gestionar el ciclo de vida de usuarios (Joiners, Movers & Leavers - JML). Administrar solicitudes de acceso, modificaciones y bajas de usuarios en múltiples sistemas. Gestionar grandes volúmenes de tickets asegurando el cumplimiento de SLA y tiempos de respuesta. Administrar plataformas de identidad y acceso. Configurar y mantener integraciones de Single Sign-On (SSO). Resolver incidentes relacionados con autenticación, permisos y accesos. Garantizar el cumplimiento de políticas y controles de acceso. Identificar oportunidades de mejora y automatización en procesos IAM. Documentar procedimientos operativos, procesos y buenas prácticas. Colaborar con equipos de IT, Seguridad y Recursos Humanos.

Sr Scrum Master / AI

Remoto
Argentina - RemotoColombia - RemotoPerú - RemotoMéxico - RemotoVenezuela - RemotoEcuador - Remoto

Sobre el rol Estamos buscando un/a Scrum Master con experiencia gestionando proyectos tecnológicos y conocimiento del ecosistema de inteligencia artificial para liderar iniciativas vinculadas a soluciones de IA y automatización. El rol tendrá foco en la coordinación de equipos multidisciplinarios, seguimiento de entregables y gestión de proyectos ágiles, actuando como nexo entre stakeholders técnicos y de negocio. La persona deberá contar con autonomía para liderar proyectos end-to-end, asegurando cumplimiento de tiempos, calidad y objetivos definido Requerimentos Experiencia como Scrum Master gestionando proyectos vinculados a IA generativa. Certificación Scrum Master: PSM o CSM Manejo de herramientas de gestión: Jira / Trello / Microsoft Project / Azure DevOps Boards Capacidad para interactuar con equipos técnicos y stakeholders de negocio. Conocimiento conceptual de proyectos: Machine Learning / Deep Learning / OpenAI / Azure Cognitive Services Entendimiento básico de: CI/CD / GitHub / Azure DevOps / flujos de automatización de despliegues Experiencia realizando seguimiento de: métricas de equipo / KPIs / dashboards reportes ejecutivos Deseables Certificación Microsoft Azure Fundamentals (AZ-900). Conocimiento de entornos cloud y arquitecturas modernas. Responsabilidades Liderar proyectos tecnológicos orientados a inteligencia artificial y automatización. Coordinar equipos multidisciplinarios de desarrollo, QA, DevOps y AI. Facilitar ceremonias ágiles bajo metodología Scrum. Gestionar riesgos, prioridades y seguimiento de entregables. Mantener comunicación fluida con stakeholders técnicos y no técnicos. Realizar seguimiento de KPIs, métricas de avance y performance del equipo. Generar dashboards y reportes ejecutivos de estado de proyectos. Colaborar en la planificación y organización de roadmap e iniciativas. Acompañar procesos de mejora continua y buenas prácticas ágiles.

QA Automation Engineer

Remoto
Argentina - RemotoColombia - RemotoPerú - RemotoMéxico - RemotoVenezuela - RemotoEcuador - Remoto

Sobre el rol Estamos buscando un/a QA Automation Senior para asegurar la calidad, rendimiento y experiencia de usuario de aplicaciones, APIs, microservicios y soluciones basadas en inteligencia artificial. El rol tendrá un fuerte foco en pruebas funcionales, automatización, performance y testing de APIs, participando activamente en la validación de entregables y en la detección temprana de problemas de escalabilidad, estabilidad y experiencia de usuario. La persona trabajará junto a equipos de desarrollo, producto y DevOps, colaborando en la mejora continua de procesos de calidad y automatización. Requerimentos Experiencia realizando pruebas de carga y performance utilizando: Apache JMeter / Azure Load Testing / K6 Experiencia en automatización de pruebas con: Selenium / Cypress / Playwright Experiencia realizando testing de APIs REST y microservicios. Manejo de herramientas como: Postman / SoapUI Experiencia gestionando defectos y documentación técnica: Jira / Azure Test Plans Conocimiento de testing UX/UI: validación de flujos / accesibilidad Experiencia trabajando con: Azure Monitor / Application Insights Experiencia generando reportes técnicos y métricas de calidad. Certificación ISTQB Advanced Deseables Certificaciones Azure Fundamentals Experiencia en implementación de IA para testing Responsabilidades Diseñar y ejecutar pruebas funcionales, automatizadas y de performance. Implementar pruebas de carga y estrés sobre APIs y microservicios. Automatizar pruebas utilizando frameworks modernos de testing. Validar experiencia de usuario y flujos funcionales de aplicaciones. Realizar testing de APIs REST y servicios backend. Detectar, documentar y realizar seguimiento de defectos. Analizar métricas de rendimiento, logs y cuellos de botella. Colaborar en pipelines CI/CD para automatización de pruebas. Generar reportes técnicos con resultados, métricas y recomendaciones. Participar en la mejora continua de procesos y estándares de calidad.

Azure Cloud Engineer

Remoto
Argentina - RemotoColombia - RemotoPerú - RemotoMéxico - RemotoVenezuela - RemotoEcuador - Remoto

Sobre el rol Estamos buscando un/a Azure Cloud Engineer para diseñar, automatizar y administrar la infraestructura cloud necesaria para soluciones basadas en inteligencia artificial. El rol tendrá foco en la construcción de ambientes seguros, escalables y estandarizados sobre Microsoft Azure, asegurando la correcta operación de plataformas y servicios vinculados a modelos y aplicaciones de IA. La persona trabajará sobre procesos de automatización, gobierno cloud, homologación de ambientes y despliegues CI/CD, colaborando con equipos de desarrollo, AI y DevOps. Requerimentos Experiencia sólida como Devops / Cloud Engineer en ecosistemas Azure Experiencia con herramientas de Infrastructure as Code: Terraform / Bicep / Azure CLI Experiencia administrando servicios Azure: Azure Key Vault / App Services / WebApps / Azure Storage / Redes / VNETs Experiencia implementando CI/CD utilizando: Azure DevOps Pipelines / GitHub Actions Conocimiento de scripting: PowerShell / Bash / Python Experiencia gestionando: IAM / políticas de seguridad / secretos y certificados / homologación de ambientes Experiencia trabajando con buenas prácticas de gobernanza cloud. Deseables Experiencia trabajando sobre plataformas de IA o despliegue de modelos. Experiencia en automatización de infraestructura orientada a entornos enterprise. Conocimiento de observabilidad y monitoreo en Azure. Responsabilidades Diseñar y automatizar infraestructura en Microsoft Azure Implementar y mantener ambientes Dev, QA y Producción. Administrar servicios core de Azure necesarios para soluciones de IA. Gestionar redes, conectividad y configuraciones de seguridad cloud. Implementar pipelines de CI/CD para despliegue de infraestructura y aplicaciones. Gestionar secretos, certificados y políticas de acceso. Asegurar ambientes escalables y confiables para el despliegue de soluciones de AI y desarrollo Participar en iniciativas de optimización, automatización y mejora continua.

Chatbot Developer

Remoto
Argentina - RemotoColombia - RemotoPerú - RemotoMéxico - RemotoVenezuela - RemotoEcuador - Remoto

Sobre el rol Estamos buscando un/a Bot Developer para diseñar, desarrollar e implementar soluciones conversacionales orientadas a automatización y atención empresarial. El rol tendrá foco en la construcción de chatbots y flujos conversacionales complejos, integrando sistemas corporativos y automatizando procesos mediante plataformas cloud y servicios cognitivos. La persona participará en el desarrollo de bots empresariales de alto impacto, trabajando sobre arquitecturas modernas basadas en APIs, microservicios y entornos escalables en Azure. Requerimentos Experiencia desarrollando bots y soluciones conversacionales. Experiencia trabajando con: Azure Bot Service / Microsoft Agent Framework Experiencia desarrollando integraciones mediante: APIs REST / microservicios / webhooks Experiencia integrando bots con plataformas empresariales. Experiencia trabajando con: Docker / Kubernetes Experiencia en desarrollo con: Python / Node.js Experiencia trabajando sobre Microsoft Azure. Conocimiento utilizando: Azure DevOps / GitHub Actions Conocimiento de NLP y servicios cognitivos de Azure. Responsabilidades Diseñar e implementar chatbots y flujos conversacionales multiturno. Desarrollar integraciones entre bots y sistemas empresariales. Integrar bots con APIs REST / microservicios / Webhooks / WhatsApp Business / ServiceNow Desarrollar servicios backend y lógica de integración con Node.js o Python. Participar en testing y QA de experiencias conversacionales. Monitorear rendimiento, métricas y analítica de bots en producción. Participar en la evolución técnica de soluciones conversacionales.

Sr Fullstack Engineer (AI)

Remoto
Argentina - RemotoColombia - RemotoPerú - RemotoMéxico - RemotoVenezuela - RemotoEcuador - Remoto

Sobre el rol Estamos buscando un/a Full Stack Developer con experiencia en integración de soluciones de inteligencia artificial para participar en el desarrollo de aplicaciones modernas orientadas a usuarios finales. El rol combina desarrollo Fullstack e integración de servicios cognitivos y modelos generativos, trabajando sobre plataformas cloud escalables y arquitecturas modernas basadas en microservicios. La persona participará en el desarrollo de aplicaciones web integradas con capacidades de IA, incluyendo asistentes conversacionales. Requerimentos Experiencia sólida en desarrollo frontend con: Angular / React + TypeScript Experiencia en desarrollo backend con Python en Flask o FastAPI Experiencia trabajando con: Docker / Kubernetes Experiencia integrando aplicaciones mediante: Microsoft Graph/ OAuth 2.0 / SSO / webhooks y eventos asíncronos Conocimiento de CI/CD utilizando: GitHub Actions o Azure DevOps Experiencia trabajando en entornos cloud sobre Microsoft Azure: Key Vault, App Services Experiencia integrando soluciones de IA: OpenAI / Azure OpenAI / historial conversacional / servicios cognitivos Azure Deseables Experiencia con C# / .NET. Conocimiento de MCP (Model Context Protocol). Certificaciones Microsoft: AI-102 Azure AI Engineer Associate / AZ-104 Azure Administrator Associate Responsabilidades Desarrollar aplicaciones frontend utilizando Angular y/o React. Construir APIs y servicios backend utilizando Python. Integrar soluciones basadas en IA generativa y servicios cognitivos. Implementar arquitecturas basadas en microservicios y eventos asíncronos. Integrar aplicaciones con plataformas y servicios corporativos. Participar en despliegues y automatización de pipelines CI/CD.

AI Engineer

Remoto
ArgentinaColombiaEcuadorMéxicoPerú

Estamos buscando un/a AI Developer / AI Engineer para diseñar, desarrollar e implementar soluciones basadas en inteligencia artificial que permitan resolver necesidades de negocio mediante modelos de Machine Learning y modelos generativos. El rol estará enfocado en el desarrollo de aplicaciones de IA basadas en LLMs, sistemas de Retrieval-Augmented Generation (RAG) y búsqueda semántica, integrando modelos en aplicaciones mediante APIs y servicios cloud. Requerimientos excluyentes: Experiencia sólida desarrollando con Python avanzado, trabajando con Pandas, scikit-learn y Apis Restful Experiencia entrenando y realizando fine-tuning de LLMs en entornos productivos. Experiencia implementando arquitecturas RAG sobre documentación empresarial. Experiencia trabajando con bases de datos vectoriales y búsquedas semánticas: Pinecone / Weaviate / Chroma Experiencia utilizando: OpenAI API (GPT-4, DALL·E, Whisper, Codex) y Azure OpenAI Service Experiencia desplegando modelos open source como LLaMA en infraestructura cloud. Experiencia trabajando con servicios de IA en Azure. Deseables Experiencia desarrollando con JAVA / C#. Certificaciones: Azure AI Engineer Associate (AI-102 / AI-103) Deep Learning Specialization Certificaciones en Hugging Face o LangChain Responsabilidades: Diseñar, entrenar y desplegar modelos de IA generativa para distintos casos de uso. Implementar técnicas de fine-tuning y optimización de LLMs. Desarrollar pipelines basados en RAG (Retrieval-Augmented Generation) utilizando bases vectoriales y embeddings como Pinecone o Chroma. Implementar soluciones utilizando: OpenAI API / Azure OpenAI Service / Modelos open source como LLaMA Trabajar con frameworks y herramientas como: LangChain / LlamaIndex / Hugging Face Transformers Integrar servicios cognitivos de Azure: Computer Vision / NLP / Sentiment Analysis Form Recognizer Implementar soluciones de voz y transcripción utilizando Whisper. Participar en despliegues cloud sobre Microsoft Azure. Colaborar en procesos de CI/CD utilizando Azure DevOps o GitHub Actions.

AI Agent Developer Ssr

Remoto
ArgentinaColombiaEcuadorMéxicoPerú

Nos encontramos en la búsqueda de un AI Agent Developer / Engineer con conocimiento en modelos generativos y construcción de agentes, para desarrollar soluciones basadas en LLMs con impacto directo en producto. El rol está orientado a perfiles que trabajen en la intersección entre desarrollo, datos e inteligencia artificial, siendo responsables de diseñar e implementar aplicaciones que utilicen modelos como GPT, Claude u open-source, integrándolos en flujos reales de negocio. Requerimentos + 3 años de experiencia desarrollando aplicaciones basadas en modelos generativos (LLMs) como GPT, Claude u otros, llevándolas a entornos productivos. Experiencia integrando servicios de inteligencia artificial mediante APIs (OpenAI, Anthropic, Azure AI u otros). Experiencia construyendo agentes o flujos conversacionales, incluyendo manejo de prompts, contexto y memoria. Conocimientos de embeddings y/o arquitecturas de recuperación de información (RAG). Experiencia trabajando con bases de datos SQL y/o NoSQL. Experiencia utilizando servicios cloud Azure para despliegue y operación de soluciones. Experiencia iterando sobre modelos en base a métricas y feedback de usuarios, optimizando calidad y costos. Responsabilidades Diseñar e implementar soluciones basadas en LLMs (GPT, Claude u otros). Construir agentes y flujos conversacionales, gestionando contexto, prompts y memoria. Integrar servicios de IA a través de APIs (OpenAI, Anthropic, Azure AI). Trabajar con datos estructurados y no estructurados para enriquecer las capacidades del sistema. Iterar sobre modelos y prompts en base a feedback de usuarios y métricas. Optimizar performance, calidad de respuestas y costo de inferencia. Asegurar buenas prácticas de seguridad, privacidad y uso responsable de IA. Colaborar con equipos de producto y negocio para definir casos de uso y soluciones.

Sr Fullstack Developer

ColombiaMéxicoArgentina - Híbrido

About the Role Mindtech is seeking a dedicated Senior Full-stack Developer to enhance and expand our cutting-edge digital products. You will play a pivotal role in the entire development lifecycle, from crafting intuitive user interfaces to implementing robust backend services. Your expertise will also shape technical strategies, especially in AI-driven features and integrations with LLM-based tools. Key Responsibilities Design and develop user-facing applications using React. Build and maintain backend services with Node.js. Optimize and manage MongoDB databases, including schema design. Create and consume RESTful APIs efficiently. Contribute to scalable backend architectures and asynchronous workflows. Collaborate on AI feature development, integrating LLMs and AI APIs. Work autonomously in distributed teams with a strong ownership mindset.