Devsu is a technology agency that provides software development services, IT augmentation and staffing.
Senior Microsoft AI Developer
Location
Mexico
Posted
46 days ago
Salary
0
Seniority
Senior
Job Description
Senior Microsoft AI Developer
Devsu
About the Role As a pivotal member of the organization, reporting directly to the Director of Software Development, you’ll step into a role that offers you the chance to drive groundbreaking innovation with the latest Generative AI technologies. This position places you at the forefront of shaping how the client leverages cutting-edge AI to deliver exceptional value for both our clients and our people. You’ll collaborate with a dynamic team of top-tier technology and business experts, working together to build highly customized Gen AI tools that redefine our business and foster a culture of creativity and progress. In your role as Senior Microsoft AI Developer, you’ll have the unique opportunity to design and build advanced Generative AI tools, plug-ins, microservices, and extensions. Your work will be essential in leading innovation and delivering high-impact solutions that set new standards for excellence, further strengthening the client’s reputation for technological leadership, client satisfaction, and continuous growth. If you’re passionate about shaping the future of technology and eager to make a real difference, this is the perfect place to accelerate your career and leave a lasting mark. Responsibilities As a Senior Microsoft AI Developer, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to: - Lead the design, development, and implementation of large-scale AI-driven software solutions using Microsoft 365 Agents Toolkit and Azure technologies - Translate business requirements into technical specifications and deliver effective AI and automation solutions - Develop, test, and deploy product features, ensuring they align with client needs and quality standards - Support agile product delivery by working closely with cross-functional teams and adopting Agile Scrum methodologies - Utilize Azure AI Foundry, Azure OpenAI, Graph connectors, API plugins, and Azure AI Search to deliver robust solutions - Guide integration of APIs and microservices architectures for scalable and secure applications - Implement best practices in source code management, CI/CD, and DevOps using tools like GitHub and Azure DevOps - Collaborate with UX teams to incorporate user feedback and optimize end-user experiences - Troubleshoot complex issues and provide support throughout the software development lifecycle - Act as a subject matter expert, mentoring team members and contributing to continuous improvement initiatives.
Job Requirements
- Bachelor’s or Master’s degree in Computer Science or similar field
- Microsoft .Net Development Certification and Azure Services certifications are preferred
- Hands-on experience in agile teams delivering software solutions at scale
- Proficiency in service-oriented, event-driven, and microservices architectures
- Expertise in Azure AI tools including OpenAI, Foundry, Functions, Logic Apps, and Teams Toolkit
- Experience with Python, containerization (Docker/Kubernetes), and CI/CD pipelines
- Strong knowledge of RDBMS (MS SQL, Dataverse) and API-based integration development
- Ability to solve complex problems with creativity and critical thinking
- Excellent written and verbal communication skills for internal and client-facing interactions
- Team-oriented mindset with a passion for continuous learning and staying up to date with emerging technologies
- Proficient English communication skills (conversational B2+)
Benefits
- At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:
- A stable, long-term contract with opportunities for career growth
- Private health insurance
- A remote-friendly culture that promotes work-life balance
- Continuous training, mentorship, and learning programs to keep you at the forefront of the industry
- Free access to AI training resources and state-of-the-art AI tools to elevate your daily work
- A flexible Paid Time Off (PTO) policy as well as paid holiday days
- Challenging, world-class software projects for clients in the US and LatAm
- Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment
- Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.
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Senior Microsoft AI Developer
DevsuDevsu is a technology agency that provides software development services, IT augmentation and staffing.
About the Role As a pivotal member of the organization, reporting directly to the Director of Software Development, you’ll step into a role that offers you the chance to drive groundbreaking innovation with the latest Generative AI technologies. This position places you at the forefront of shaping how the client leverages cutting-edge AI to deliver exceptional value for both our clients and our people. You’ll collaborate with a dynamic team of top-tier technology and business experts, working together to build highly customized Gen AI tools that redefine our business and foster a culture of creativity and progress. In your role as Senior Microsoft AI Developer, you’ll have the unique opportunity to design and build advanced Generative AI tools, plug-ins, microservices, and extensions. Your work will be essential in leading innovation and delivering high-impact solutions that set new standards for excellence, further strengthening the client’s reputation for technological leadership, client satisfaction, and continuous growth. If you’re passionate about shaping the future of technology and eager to make a real difference, this is the perfect place to accelerate your career and leave a lasting mark. Responsibilities As a Senior Microsoft AI Developer, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to: - Lead the design, development, and implementation of large-scale AI-driven software solutions using Microsoft 365 Agents Toolkit and Azure technologies - Translate business requirements into technical specifications and deliver effective AI and automation solutions - Develop, test, and deploy product features, ensuring they align with client needs and quality standards - Support agile product delivery by working closely with cross-functional teams and adopting Agile Scrum methodologies - Utilize Azure AI Foundry, Azure OpenAI, Graph connectors, API plugins, and Azure AI Search to deliver robust solutions - Guide integration of APIs and microservices architectures for scalable and secure applications - Implement best practices in source code management, CI/CD, and DevOps using tools like GitHub and Azure DevOps - Collaborate with UX teams to incorporate user feedback and optimize end-user experiences - Troubleshoot complex issues and provide support throughout the software development lifecycle - Act as a subject matter expert, mentoring team members and contributing to continuous improvement initiatives.
Director of AI Platform Operations
Alzheimer's AssociationThe Alzheimer’s Association envisions a world without Alzheimer’s. Founded in 1980, this voluntary, international organization has lead efforts in finding a cure for Alzheimer�
• Own the end-to-end administration of the Association’s primary AI platform and Microsoft Copilot • Manage user provisioning and deprovisioning, SSO configuration, permission tiers, and seat allocation across standard and Pro/Max license tiers • Ensure platform configurations meet enterprise security standards and Responsible AI guidelines • Design, build, and maintain integrations between AI platforms and core enterprise systems • Partner with Enterprise Risk to ensure all AI platform configurations meet data security policies • Track platform consumption patterns and generate usage analytics • Serve as the primary technical point of contact with AI platform vendors • Lead technical due diligence when new AI tools are proposed • Own the build and maintenance of internal CoE tooling • Forecast platform capacity needs as adoption grows
• Experience in architecting and implementing solutions with LLMs in a corporate environment; • Proficiency with agent systems, workflows, chains, or multi-agent architectures; • Experience with frameworks such as LangGraph, Agno, LangChain, or equivalents; • Ability to structure approaches for orchestration, memory, context, tool use, and integration with corporate data sources; • Experience defining guardrails, fallbacks, observability, security, and human-in-the-loop mechanisms; • Ability to translate business use cases into scalable technical designs; • Strong communication skills to serve as a technical reference for the internal team and leadership; • Develop and implement artificial intelligence solutions.
¡Hola! Somos Cashea 👋 y nuestra misión es devolverle a los venezolanos la oportunidad de acceder al crédito a través de un modelo de negocio BNPL (buy now, pay later). Desde nuestro lanzamiento en 2022, nos hemos dedicado a promover la inclusión financiera. Hoy contamos con más de 9 millones de usuarios activos, tanto consumidores como comercios, y nos hemos convertido en una marca de confianza en Venezuela, ganándonos el corazón y la mente de las personas. Resumen del rol Buscamos un perfil Senior AI Engineer con experiencia profunda en el diseño e implementación de sistemas escalables de agentes basados en LLMs, capaces de operar en entornos de producción, con múltiples fuentes de información, herramientas externas y flujos complejos de decisión. El enfoque de este rol es la construcción de arquitecturas robustas de agentes (single y multi-agent) para procesos no determinísticos con alto impacto en el negocio, integrando capacidades de razonamiento, ejecución de acciones, memoria y evaluación continua, bajo esquemas de human-in-the-loop. El candidato ideal ha llevado agentes desde diseño → producción → operación, y entiende los trade-offs reales entre calidad, latencia, escabilidad, costos y confiabilidad. Si cuentas con este toolkit, ¡sigue leyendo! Responsablidades - Diseñar la arquitectura técnica de sistemas de agentes de IA (componentes, flujos, dependencias). - Definir protocolos de interacción entre agentes (mensajería, turn-taking, roles). - Implementar agentes con tool calling, planificación de tareas y ejecución segura. - Diseñar y mantener estrategias de memoria, contexto y recuperación de conocimiento (RAG, embeddings). - Colaborar con AI Platform en: - Versionado de prompts - Evaluaciones automáticas - Monitoreo de calidad y costos - Definir criterios de escalamiento a humano y mecanismos de fallback. - Analizar fallos en producción (hallucinations, loops, degradación de performance). - Iterar agentes basándose en métricas reales de negocio y operación. Requisitos - Experiencia comprobable diseñando y desplegando aplicaciones basadas en LLMs en producción. - Dominio de arquitecturas de agentes: - Planner / executor - Tool-using agents - Multi-agent orchestration - Self-reflection / critic loops - Experiencia implementando state management y memory (short-term, long-term, episodic). - Integración de agentes con APIs, bases de datos, sistemas internos y event-driven workflows. - Conocimiento práctico de prompt engineering avanzado (system prompts, role separation, constraints). - Experiencia diseñando y operando human-in-the-loop workflows. - Buen entendimiento de trade-offs entre: - Latencia VS Calidad - Costo VS Profundidad de razonamiento - Autonomía VS Control - Sólidos fundamentos de ingeniería de software (testing, versionado, observabilidad). Habilidades - Pensamiento arquitectónico orientado a sistemas distribuidos. - Capacidad para diseñar soluciones resilientes a inputs ambiguos. - Criterio técnico para decidir cuándo NO usar un agente. - Alta capacidad de debugging en sistemas probabilísticos. - Comunicación clara para documentar y justificar decisiones técnicas. Nice to have - Experiencia con frameworks de agentes (LangGraph, AutoGen, CrewAI, Semantic Kernel, etc.). - Conocimiento de LLMOps / MLOps: - observabilidad - A/B testing de prompts - evaluación offline/online - Experiencia optimizando costos de LLMs a escala. - Conocimiento de safety, guardrails y control de riesgos en sistemas generativos. - Background en CX, cobranza, fintech o sistemas conversacionales complejos. - Experiencia en arquitecturas orientadas a eventos o microservicios. Por que te encantará trabajar en Cashea En Cashea tenemos una cultura de trabajo basada en la confianza y el propósito. Si quieres saber por qué somos el lugar ideal para ti, estos son nuestros valores fundamentales: - No trabajamos en piloto automático. Todo lo que hacemos y compartimos —dentro y fuera— es intencional. Nos apasiona crear ideas siendo plenamente conscientes del impacto que tienen en nuestros usuarios. - Tu creatividad y curiosidad son tus activos más importantes. - Tu voz importa. Escuchamos y abrimos espacio para las ideas y el feedback. Aquí todos pertenecen; lo que es importante para ti, lo es para nosotros. - Valoramos la transparencia. La claridad nos mantiene conectados y con los pies en la tierra. - Por último, pero no menos importante, nos enfocamos en el impacto real. Todo lo que hacemos está destinado a marcar la diferencia. ¿Te identificas? ¡Postúlate ahora, nos encantaría conocerte!



