Role Description Diseñar y construir con alto apalancamiento de IA, un núcleo de software simple, robusto y bien probado que habilite una mejor experiencia para propietarios, inquilinos y equipos internos, y que pueda evolucionar rápido sin acumular complejidad ni deuda. Tu trabajo no es solo escribir código: es construir los sistemas, las barreras de calidad y la observabilidad que permiten al equipo y a la IA entregar rápido y con confianza. Elevas el estándar técnico, mantienes los datos como activo central del negocio y aseguras que todo lo que sale a producción esté probado, sea reproducible y aporte valor real. Tareas - Construir de punta a punta (full-stack), diseñas e implementas funcionalidades completas del ciclo de renta de la base de datos a la interfaz, con ownership end-to-end y comodidad para moverte por todo el stack. - Usas agentes de IA (p. ej. Claude Code) como forma principal de construir, orquestándolos para generar código, pruebas, documentación y exploración de soluciones, siempre bajo tu criterio y revisión. - Revisas y validas críticamente el código propio, del equipo o generado por IA detectando errores lógicos, alucinaciones, riesgos de seguridad, ineficiencias y problemas de mantenibilidad. - Pruebas unitarias, de integración y end-to-end, CI/CD y "barreras de salida" que impidan que algo roto llegue a producción. Esa automatización es lo que hace seguro apalancarse en IA. - Instrumentas tracking de errores, de generaciones de IA y de producto; detectas problemas antes que el usuario y cierras el ciclo de mejora idealmente hasta conectar el error con una propuesta de solución. - Mantienes infraestructura, configuración y proveedores versionados y reproducibles, de modo que todo sea trazable y reversible, nada de configuraciones críticas que vivan solo en el panel de un proveedor. - Modelas con claridad las entidades centrales del negocio (propietarios, propiedades, inquilinos, contratos, pagos) en un core de datos bien estructurado, multipaís y multimarca, pensado para reutilizarse. - Priorizas sin piedad, eliminas complejidad y te enfocas en el 80% que mueve el negocio. Resistes la tentación de lo "brillante" que no aporta valor. - Diseñas con foco en optimización de recursos y control de costos en AWS, tratando la salud financiera del stack como parte del trabajo de ingeniería. - Incorporas seguridad desde el diseño y proteges el activo más valioso de Homie: sus datos. En dónde viven, cómo se acceden y qué los toca. - Propones estándares, documentación y mejores prácticas que multiplican la capacidad de toda la organización con IA no solo la tuya, y colaboras de cerca con Producto y Operaciones para traducir necesidades reales en soluciones simples. Qualifications - Experiencia sólida como ingeniero full-stack senior: dominio de TypeScript/JavaScript, React/Next.js y Node, además de servicios de backend y modelado de datos (SQL). - Experiencia real construyendo con agentes de IA (Claude Code o similares) como forma principal de desarrollo, no solo autocompletado, con el criterio para revisar, probar y corregir lo que producen. - Disciplina fuerte de testing (unitarias, integración, e2e), CI/CD y observabilidad. - Experiencia con AWS y mentalidad de costo/eficiencia. - Conocimiento sólido de seguridad en el desarrollo, aplicada desde el diseño. - Sesgo por la simplicidad: capacidad de modelar datos limpios y de elegir la solución más simple que resuelve el problema. - Alta autonomía, pensamiento sistémico, criterio de negocio, ownership y sentido de urgencia. - Comunicación clara para explicar decisiones técnicas y colaborar con perfiles técnicos y no técnicos. Español fluido; inglés para documentación y herramientas. Requirements - SaaS multitenant / multipaís, idealmente en LATAM. - Dominio en real estate, fintech o productos financieros. - React Native (tenemos en el horizonte una app para propietarios). - Familiaridad con stacks legados (Ruby on Rails, Java) para apoyar la transición mientras construimos lo nuevo. - Experiencia integrando plataformas de negocio como HubSpot. Benefits - AI-first, con humanos al mando. La IA construye gran parte del código; las personas deciden qué construir y responden por la calidad. - Preferimos un núcleo simple y sólido a una constelación de sistemas. Decidir dejar de hacer cosas es parte del trabajo. - Calidad y datos como cimiento. Testing, observabilidad y un core de datos limpio desde el día uno. - Apalancamiento a nivel organización. El objetivo no es darle una herramienta a cada ingeniero, sino elevar la capacidad de todo Homie. Company Description En Homie, una proptech con más de 7 años de experiencia y presencia en México y Chile, estamos revolucionando la forma de rentar. Seleccionados como una de las compañías más prometedoras en el Top Startups de LinkedIn, estamos transformando la dinámica de renta. - Hacemos que sea más simple llegar al inquilino ideal a través de mejores beneficios para propietarios: publicación gratuita en diversas plataformas, pagos puntuales respaldados por Homie y la posibilidad de adelantar rentas desde el primer mes. - Con más de 6 mil propiedades bajo administración, nuestro enfoque innovador permite a los inquilinos encontrar su hogar ideal sin necesidad de un aval, mientras brindamos a los propietarios la tranquilidad de una gestión eficiente.

Role Description You'll join our AI R&D team building production-ready AI agent systems on top of our KPU technology. This is a hands-on builder role focused on implementing, evaluating, optimizing and deploying agentic workflows that solve real enterprise problems. You'll bridge research and production, transforming cutting-edge AI capabilities into reliable, accountable systems that meet enterprise requirements. What you’ll do: - Design and implement end-to-end AI agent workflows using our KPU technology, working directly with customers to rapidly iterate on solutions. - Build robust evaluation datasets and frameworks to measure agents/AI performance, reliability, and accuracy. - Optimize workflows for performance, explainability, and enterprise-grade reliability. - Push the boundaries of what's possible with LLMs, RAG systems, and AI agents in production environments. - Stay at the forefront of Agentic AI development, continuously applying new techniques to improve our platform. Qualifications - Demonstrable experience building and shipping AI-powered features to production environments. - Strong hands-on experience with LLMs, evaluations, prompt optimization and context engineering in real-world applications. - Strong background as SWE with proficiency in Python for production system development and code quality frameworks/practices. - Understanding of ML system evaluation methodologies and performance optimization. - Ability to translate complex AI capabilities into practical enterprise applications. - Self-starter mentality who thrives as an individual contributor in fast-paced, ambiguous startup environments. - Passion for building AI systems that are reliable, transparent, and trustworthy. Benefits - Opportunity to work with cutting-edge Agentic Process Automation. - Influence how major multinational organizations transform critical business processes. - Work on genuinely differentiated technology that solves real enterprise AI challenges. - Join a rapidly scaling company following a $25m Seed Round. - Collaborate with deep technical and industry experts. - Opportunity for personal and professional growth in a fast-paced environment. Company Description Maisa is committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all.

Requisition Number: 2366936 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: - Own the inference and delivery of machine learning insights to multiple customers - Manage, monitor, and scale machine learning systems, delivering insights to multiple customers - Partner with cross-functional engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world products - Work with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficiently - Drive pipeline efficiency and reliability through profiling, refactoring and advanced engineering - Develop new data pipelines to improve ML model usage You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor of Science in computer science or related quantitative field - 7+ years of professional software engineering experience, with at least 5+ years building and operating production ML systems - Expert-level Python experience, including writing production-grade, testable, and maintainable code - Hands-on experience building and deploying APIs using FastAPI (or similar Python web frameworks) in a production environment - Solid experience deploying, managing, and scaling services in Kubernetes, including: - Containerization (Docker) - Helm or equivalent deployment tooling - Resource tuning, autoscaling, and failure recovery - Proven experience with MLOps practices, including: - Model deployment and versioning - Monitoring model performance, drift, and system health Preferred Qualifications: - Experience with AzureML, DataBricks, and Azure Kubernetes - Experience with distributed computing approaches - Expertise in ML Ops, for example, model monitoring, drift detection, and event-based model retraining - Proven solid technical communication skills - Proven ability and drive to learn independently - Proven problem-solving and analytical thinking - Proven ability to explain technical decisions to stakeholders *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #optumaiscience UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #OptumTechPJ

• Design and implement Generative AI solutions with measurable business impact. • Create and optimize language models and AI pipelines with a focus on security, performance, and observability. • Deploy solutions on cloud infrastructure (AWS/Azure) ensuring scalability and reliability. • Collaborate with cross-functional teams to align deliverables with organizational OKRs. • Document technical designs and maintain standards for integration and continuous improvement. • Research emerging technologies and propose enhancements to the AI ecosystem. • Contribute to the evolution of autonomous agent architectures and RAG systems.