We are looking for a DevOps Engineer to help maintain production Kubernetes-based systems for a major technology company that specializes in infrastructure……
A minimum of 5 years of relevant professional experience. You will take ownership of the automation foundation of the cloud platform by establishing standards……
This role will require you to take on several complex and crucial responsibilities when it comes to DevOps process, Continuous Integration / Continuous Delivery……
The role combines backend engineering, LLM integration, cloud infrastructure and AI platform operations to deliver scalable GenAI solutions in production……
We are seeking a Senior DevOps Engineer to support production Kubernetes-based systems for a large tech company focused on infrastructure that powers AI……
We are looking for a Senior DevOps Engineer with strong experience in design, automation and support of cloud-based infrastructure across Azure.…
We are looking for a Senior DevOps Engineer with strong experience designing, automating, and supporting cloud-based infrastructure across GCP.…
Cloud Engineering (cloud computing) experience with AWS, GCP, and/or Azure to include load balancing. Infrastructure as a code (Terraform / Pulumi / AWS……
The Senior AI Engineer designs, builds, and ships enterprise-grade AI/ML and LLM-based solutions. This role focuses on hands-on engineering, high-quality……
Mentor engineers and champion DevOps best practices throughout the organization. We are seeking a Lead DevOps Engineer with deep expertise in architecting,……
We are looking for a Senior DevOps Engineer with strong experience designing, automating, and supporting cloud-based infrastructure across AWS.…
We are seeking a talented and motivated Junior Mobile Engineer who is best in class with a high IQ plus a high EQ. Coding assessment (~1.5 hours).…
You will work alongside senior platform engineers, learn the patterns Built wants teams to reuse, and own meaningful parts of the platform end-to-end.…
Diseñar, implementar y administrar soluciones de DevOps utilizando Azure DevOps (AzDO), asegurando la integración y entrega continua de aplicaciones.…
The Development Operations (DevOps) Engineer position at ROKO Labs will work side by side with engineering, platform, development, and operations teams and will……
As a Developer in our technology team, you will play a key role in developing our platform, responding to client inquiries related to the day-to-day performance……
The ideal candidate will bring deep expertise in Azure Cloud management, automation and DevOps practices to support our infrastructure and deployment needs.…
Mentor engineers and promote DevOps maturity across the organization. 5–10 years hands‑on Azure experience. The DevOps Principal Engineer – Tech Lead provides……
In this position, you will harness advanced AI coding agents to speed up delivery, enhance code quality, and help modernize our distributed architecture while……
The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to……
CSI provides a single point of entry to enable identity, branding and compliance, as well as a single point of management to support provisioning, monitoring,……
Use AI to find out how well the skills on your resume fit this job description.
Descripción del empleo:
Buscamos un/a Backend-first Full Stack Engineer con sólida experiencia en aplicaciones
backend, que haya trabajado al menos en un proyecto con Python o Node.js y que quiera
involucrarse en el desarrollo de productos AI generativa (LLMs, agentes, RAG). El rol empieza construyendo la arquitectura backend del producto, y luego colaborara en flujos full-stack y desarrollos de agentes inteligentes.
Trabajará con equipos de Data/AI, DevOps y Front End para construir APIs escalables,
agentes basados en LLM y plataformas backend de alto rendimiento, con frontend
React/TypeScript como apoyo limitado.
Principales Responsabilidades
Construir micro‐servicios backend y agents orchestration, colaborando con IA y Data sobre frameworks Python (FastAPI) o Node.js.
Implementar pipelines LLM + RAG con frameworks como LangChain, LangGraph, o AutoGen, integrando vectorDBs (Pinecone, pgvector, RagFlow, etc).
Desarrollar APIs REST y WebSocket de alto rendimiento, con soporte para streaming de tokens desde modelos.
Instrumentar observabilidad, trazabilidad y control de uso mediante herramientas como OpenTelemetry, Prometheus/Grafana o Sentry.
DevOps: Automatizar deployment con Docker, Kubernetes, IaC (Terraform) y CI/CD (GitHub Actions, Azure Pipelines).
Participar en demos y estimaciones técnicas con stakeholders, e impulsar pruebas de concepto sobre nuevas tecnologías generativas.
Requisitos (Must-Have)
+5 años en desarrollo backend (Java, Python o Node.js).
Experiencia práctica mínima con Python o Node.js en al menos un proyecto que
involucre IA generativa (LLMs, agentes, RAG).
Experiencia usando frameworks LangChain, LangGraph, AutoGen o DSPY para
agentes o pipelines.
Sólido dominio de técnicas backend: APIs REST/WS, streaming, micro‐servicios,
bases de datos, escalabilidad.
Familiaridad con frontend (React + TypeScript) suficiente para integrarte con
equipos UX/rendering.
Experiencia con infraestructura cloud, contenedores, IaC y buenas prácticas
DevSecOps.
Por qué te va a interesar
Liderás el backend de soluciones concretas con impacto real, no solo prototipos.
Combinás tu experiencia backend con generación de workflows basados en IA.
Trabajás junto a expertos en AI/data, aportando desde el backend.
Oportunidad de aprender y proponer en IA Generativa.
Alto impacto técnico y diversidad de tareas: infraestructura, backend, IA,
integración.