Senior GenAI Systems Engineer — AWS Bedrock

Automat-it; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Automat-it is seeking an AI Engineer to lead end-to-end GenAI projects with startup Data Science and R&D teams. You will build production-grade AI systems on AWS, focusing on RAG pipelines, agent-based workflows, and backend services, not just model training.

The role is hands-on and delivery-focused, requiring strong Python skills, AWS experience, and the ability to design multi-agent orchestration. Hybrid work from Madrid is offered.

Formación

• Strong hands-on experience building and deploying AI/GenAI systems in production.
• Extensive AWS experience beyond model invocation, including infrastructure, IAM, serverless services, networking, storage, monitoring, and production deployments using Bedrock.
• Experience building RAG systems with retrieval logic, vector databases, and output quality improvements.
• Strong understanding of modern LLM ecosystems, models, trade-offs, deployment options, and production use cases.
• Strong Python skills and backend system design understanding.
• Experience designing multi-agent systems or complex orchestration workflows.
• Experience with vector databases (OpenSearch, pgVector, Pinecone, etc.).
• Ability to work in fast-moving environments with short project cycles and strong client communication.

Responsabilidades

• Build and deliver production-ready GenAI systems on AWS, including Bedrock, AgentCore, RAG systems, and AI services.
• Design and implement AI agents using Bedrock AgentCore, AWS Strands, MCP, and modern orchestration frameworks.
• Collaborate with Solution Architects, DevOps, and customer teams to turn workshops/POCs into production systems.
• Evaluate and select appropriate LLMs based on accuracy, latency, cost, and requirements.
• Create reusable AI components and deployment patterns for future projects.
• Deploy, monitor, and improve ML/LLM systems in production focusing on performance and reliability.

Conocimientos

GenAI Systems

AWS Bedrock

RAG pipelines

LLM integration

Python

Multi-agent design

DevOps collaboration

Client communication

Herramientas

Bedrock AgentCore

AWS Strands

MCP

OpenSearch

SageMaker

Lambda

S3

DynamoDB

CloudWatch

Terraform

CloudFormation

AWS CDK

Docker

Kubernetes

CI/CD

Descripción del empleo

Automat-it is seeking an AI Engineer to lead end-to-end GenAI projects with startup Data Science and R&D teams. You will build production-grade AI systems on AWS, focusing on RAG pipelines, agent-based workflows, and backend services, not just model training.

The role is hands-on and delivery-focused, requiring strong Python skills, AWS experience, and the ability to design multi-agent orchestration. Hybrid work from Madrid is offered.