Kods Ai - Sr Fullstack Engineer (Ai Native)
silver
Job Score
100 ptsSobre el rol
En Kods.AI buscamos un/a Full Stack Senior con mentalidad de producto, apasionado/a por construir software de alta calidad y que utilice herramientas de inteligencia artificial como parte de su flujo diario de desarrollo.
Queremos sumar a alguien que pueda moverse con comodidad desde el frontend hasta la infraestructura, diseñando arquitecturas escalables y participando en todas las etapas del desarrollo. Más que alguien que simplemente programe, buscamos a una persona capaz de resolver problemas complejos utilizando las mejores herramientas disponibles.
Responsabilidades
Diseñar, desarrollar y mantener aplicaciones web escalables.
Participar en el diseño de arquitectura de software.
Implementar y desplegar servicios cloud-native.
Trabajar junto al equipo de ingeniería y negocio para convertir ideas en funcionalidades.
Integrar modelos de IA, agentes conversacionales y soluciones de IA generativa dentro de los productos.
Optimizar rendimiento, escalabilidad y costos de infraestructura.
Automatizar procesos mediante IA y herramientas modernas de desarrollo.
Participar en code reviews y definir buenas prácticas de ingeniería.
Requisitos Excluyentes
AI
Uso avanzado y cotidiano de herramientas de desarrollo asistidas por IA.
Experiencia utilizando herramientas como Claude, Codex, Cursor o similares como parte del workflow de programación.
Capacidad para generar, revisar, refactorizar y acelerar el desarrollo mediante IA.
Backend
Experiencia sólida con alguno de los siguientes lenguajes: ○ Python ○ TypeScript ○ Go (Golang)
Conocimiento de diseño de APIs REST y/o GraphQL.
Arquitectura basada en microservicios.
Bases de datos
Experiencia trabajando con: Bases de datos relacionales (PostgreSQL)
Bases de datos NoSQL (MongoDB)
Conocimiento de: Modelado de datos ,Optimización de consultas , Indexación ,Migraciones
Cloud & Infraestructura
Experiencia desplegando aplicaciones en plataformas cloud. Idealmente:
AWS
DigitalOcean
Conocimiento de:
Docker
Kubernetes
Knative
AWS Lambda
Serverless
Networking básico
Balanceadores de carga
CI/CD
Inteligencia Artificial
Experiencia o conocimientos en:
AI Generativa
LLMs
Prompt Engineering
AI Agents
Agentes conversacionales
Integración con APIs de modelos de lenguaje (OpenAI, Anthropic, Gemini u otros)
Protocolos modernos como MCP (Model Context Protocol) y herramientas de orquestación de agentes (por ejemplo, LangGraph o similares) son un plus.
Valoramos especialmente
Pensamiento de producto.
Capacidad para trabajar de forma autónoma.
Buen criterio técnico para tomar decisiones.
Interés genuino por aprender nuevas tecnologías.
Experiencia construyendo productos SaaS.
Experiencia trabajando en startups.
Mentalidad "ownership".
Comunicación clara y capacidad para colaborar con equipos multidisciplinarios.
Inglés técnico para documentación y comunicación.
Interview Process
Silver Screening Interview.
Silver Live coding Interview.
Client Technical Interview (System design + Live coding).
Client Behavioral Interview.
About Software Development
Software Development is one of the most dynamic and constantly evolving fields in the job market. Professionals in this area are responsible for creating, maintaining, and optimizing web, mobile, and desktop applications that impact millions of users daily.
Key languages and frameworks include JavaScript (React, Node.js, Vue.js), Python (Django, Flask), Java (Spring), PHP (Laravel), and TypeScript. Demand for full-stack developers continues to grow, especially in tech companies and startups.
Salaries range from entry-level to senior positions, with growing opportunities for remote work and international freelancing.
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
About Fullstack
Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.
Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.
Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Backend
The Backend area is responsible for all server logic, APIs, databases, and infrastructure that support web and mobile applications. Backend professionals ensure that systems are scalable, secure, and performant.
Key skills include languages like PHP, Java, Python, Ruby, Go, and Node.js, frameworks like Laravel, Spring Boot, Django, and Express, databases (MySQL, PostgreSQL, MongoDB, Redis), software architecture (clean architecture, DDD, microservices), and API security (OAuth, JWT).
Backend developers in technology companies are highly valued, especially those who master microservices architecture, cloud computing, and high-scale performance. The field offers opportunities from junior developer to software architect, with a focus on scalability, security, and efficiency.
About Ecommerce Analyst
The Ecommerce Analyst is the professional responsible for analyzing online sales data, buyer behavior, and virtual store performance to guide strategic decisions. They combine data analysis with ecommerce knowledge to optimize conversion, average order value, and return on investment.
Key skills include Google Analytics (GA4), Hotjar, conversion funnel analysis, cohort analysis, customer segmentation, pricing analysis, and ecommerce metrics (CAC, CLV, AOV, conversion rate). Knowledge of SQL, Power BI, Google Tag Manager, and platforms like Shopify and VTEX is a differentiator.
Ecommerce Analysts in technology companies are highly valued, especially those who can turn buyer behavior data into actionable insights to increase revenue and reduce cart abandonment. The field offers opportunities from junior analyst to ecommerce analytics manager.
About Product Manager
The Product Manager (PM) is the professional responsible for defining the strategy, vision, and roadmap of a digital product. They work at the intersection of technology, business, and user experience (UX), leading the discovery and delivery of solutions that solve real problems in a viable way for the company.
Key skills include product discovery, data and metrics analysis (AARRR, NPS, LTV), user research, go-to-market strategy, roadmapping, strategic prioritization, and leadership by influence. Tools like Amplitude, Mixpanel, Hotjar, Jira, and Notion are fundamental.
Product Managers play a central role in the growth of startups, scale-ups, and large technology companies, with career progression opportunities to Product Leader, Head of Product, and Chief Product Officer (CPO).
About Information Security
The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.
Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.
Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.
About Product Management
Product Management is one of the most strategically relevant areas in technology organizations. The Product Manager is responsible for defining product vision, prioritizing features, and coordinating multidisciplinary teams to deliver value to users.
Essential skills include strategic thinking, data analysis, communication, leadership, and technical knowledge. Tools like Jira, Confluence, Miro, and analytics platforms are fundamental in daily work.
Salaries for PMs range from entry-level to senior positions at major tech companies, with growing opportunities for international remote work.
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