Senior GenAI Engineer (AWS Bedrock) - Hybrid Madrid

Automat-it; Madrid; Hybrid; EUR 65,000 - 100,000; Full time

Job summary

Automat-it is hiring an AI Engineer to build production-grade GenAI systems on AWS, focusing on RAG pipelines, agent-based workflows, and LLM-backed services. You will own projects end-to-end from design to deployment, collaborating with startup Data Science and R&D teams.

The role is hybrid from Madrid, requiring strong Python skills, AWS expertise, and the ability to deliver reliable AI solutions in fast-paced client environments.

Qualifications

• Experience building and deploying GenAI systems in production.
• Hands-on AWS experience including infrastructure, IAM, serverless, networking, storage, monitoring, and Bedrock deployments.
• Experience building RAG systems with retrieval logic, vector databases, and output quality improvements.
• Strong understanding of modern LLM ecosystems and deployment options; familiarity with both commercial and open-source models.
• Strong Python skills and backend system design knowledge.
• 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; strong communication with clients and cross-functional teams.

Responsibilities

• Build and deliver production-ready GenAI systems on AWS (Bedrock, AgentCore, RAG, document processing, voice AI).
• Design and implement AI agents using Bedrock AgentCore, AWS Strands, MCP and orchestration frameworks.
• Collaborate with Solution Architects, DevOps and customer teams to turn ideas into production AI systems.
• Evaluate LLMs for accuracy, latency, cost, and customer requirements.
• Create reusable AI components and deployment patterns for future projects.
• Deploy and monitor ML/LLM systems in production focusing on performance and reliability.
• Work with AWS services (Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, CloudWatch).
• Adapt existing ML/GenAI code to production environments; improve retrieval and evaluation.

Skills

GenAI systems

AWS infra

RAG systems

Python

Multi-agent design

English communication

Client collaboration

CI/CD pipelines

Tools

Amazon Bedrock

AgentCore

OpenSearch

SageMaker

CloudWatch

Lambda

DynamoDB

S3

Terraform

CloudFormation

AWS CDK

Docker

Kubernetes

Pinecone

Job description

Automat-it is hiring an AI Engineer to build production-grade GenAI systems on AWS, focusing on RAG pipelines, agent-based workflows, and LLM-backed services. You will own projects end-to-end from design to deployment, collaborating with startup Data Science and R&D teams.

The role is hybrid from Madrid, requiring strong Python skills, AWS expertise, and the ability to deliver reliable AI solutions in fast-paced client environments.