Senior GenAI Engineer for Production AI on AWS

Provectus; Comunidad de Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance

Paid time off and holidays

Remote-friendly culture

Equipment and tech budget

Descripción de la vacante

Provectus seeks a Senior AI Engineer to build and ship production GenAI systems in customer environments. You will design agentic workflows, optimize RAG pipelines, and own components from development to production, collaborating with FDE and FDX on architecture and delivery.

You will write production-grade code across AI, back-end services, and data pipelines, with hands-on AWS and Claude ecosystem exposure, in a remote-friendly, international delivery setting.

Formación

• 5+ years in software or ML engineering with production systems you owned.
• Shipped production LLM applications and agentic workflows, not demos.
• Hands-on AWS in production: Bedrock, Lambda, S3, ECS, SQS, ECR.

Responsabilidades

• Work in a pair with an FDE and an FDX to deliver production GenAI systems.
• Build and ship cloud-native data, LLM based, and agentic AI solutions.
• Design and optimize RAG systems for production use cases.
• Write production code across AI, backend services, and data pipelines.
• Integrate AI components into backend services and RESTful APIs.
• Lead engineering discussions and mentor junior engineers with code reviews.

Conocimientos

ML engineering

Production systems

LLM integration

Python/TypeScript

AWS in production

Kubernetes

CI/CD

RAG systems

Agentic AI

Code reviews

Herramientas

Claude Code

AWS Bedrock

GCP/Azure

Containerization

REST APIs

Descripción del empleo

Provectus seeks a Senior AI Engineer to build and ship production GenAI systems in customer environments. You will design agentic workflows, optimize RAG pipelines, and own components from development to production, collaborating with FDE and FDX on architecture and delivery.

You will write production-grade code across AI, back-end services, and data pipelines, with hands-on AWS and Claude ecosystem exposure, in a remote-friendly, international delivery setting.