Junior GenAI/ML Engineer — AWS & AI Delivery

Provectus; España; A distancia; EUR 40.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-friendly culture

Internal training programs

Career growth

Private medical insurance

Descripción de la vacante

Provectus is seeking a Junior AI/ML Engineer (GenAI, AWS) to join a senior pod delivering real AI projects for clients across LATAM, Europe, and North America. You will build RAG components, contribute to production systems, and learn from a team of senior engineers.

You should have 2+ years in software or ML engineering, strong Python and/or TypeScript skills, and hands-on experience with cloud AI APIs. Remote-friendly, with opportunities for certifications.

Formación

• 2+ years of software or ML engineering experience
• Hands-on experience building or contributing to RAG systems
• Solid engineering fundamentals; Python and/or TypeScript proficiency
• Practical AWS experience (Lambda, S3, ECS) and Claude ecosystem familiarity
• 2+ years in distributed, production-like environments; strong English communication

Responsabilidades

• Build and contribute to RAG system components under senior guidance
• Write tests and help build evaluation harnesses
• Write production code across the AI, backend, and data pipelines stack
• Help integrate AI components into backend services and RESTful APIs
• Support deployment to AWS (containerized, CI/CD)
• Contribute to documentation, runbooks, and client handover materials
• Participate in architectural discussions and technical decisions
• Take increasing ownership of components and decisions

Conocimientos

Python

TypeScript

AWS Lambda

RAG systems

LLM APIs

CI/CD

English proficiency

Production software

Herramientas

Claude Code

AWS Bedrock

Docker

Kubernetes

GitHub Actions

OpenAI API

Apache Spark

Descripción del empleo

Provectus is seeking a Junior AI/ML Engineer (GenAI, AWS) to join a senior pod delivering real AI projects for clients across LATAM, Europe, and North America. You will build RAG components, contribute to production systems, and learn from a team of senior engineers.

You should have 2+ years in software or ML engineering, strong Python and/or TypeScript skills, and hands-on experience with cloud AI APIs. Remote-friendly, with opportunities for certifications.