> Markdown version of [/jobs/ext/2287796-ai-engineer-aws-bedrock-generative-ai](https://www.wearedevelopers.com/jobs/ext/2287796-ai-engineer-aws-bedrock-generative-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# AI Engineer - AWS Bedrock - Generative AI

- **Company:** Sabio Group
- **Location:** Madrid, Spain
- **Salary:** €72,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Microsoft Access, Artificial Intelligence, Amazon Web Services, Cloud Engineering, Amazon DynamoDB, Python (Programming Language), Systems Integration, AWS Cdk, Large Language Models, Multi-Agent Systems, Generative AI, Event Driven Architecture, Pytest, AI Platforms, Functional Programming, Api Gateway, Terraform, Serverless Computing
- **Published:** August 29, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

* Strong experience with Python, testing using pytest and maintainable code practices.
 * Experience building AI applications with LLMs, prompting, context management, memory handling and tool calling.
 * Hands-on experience with AWS serverless services including Lambda, DynamoDB, API Gateway and event-driven architectures.
 * Experience with Infrastructure as Code using AWS CDK or Terraform.
 * Knowledge of agent frameworks such as Strands Agents, LangGraph, LangChain or equivalent.
You will be responsible for designing, building and deploying LLM-based agents using AWS Bedrock AgentCore and Python. Developing cloud-native serverless solutions, integrating enterprise systems and AI services, implementing observability and monitoring, and collaborating with stakeholders to evolve proofs of concept into production-ready AI products while ensuring scalability, security and maintainability.

## Description

Join our expert team to work on innovative Generative AI initiatives, contributing to the design, industrialization and evolution of intelligent agent ecosystems. You will apply your knowledge of AWS Bedrock, Python and serverless architectures to build scalable, observable and secure AI solutions.
At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.
How do we make this happen?
We strongly encourage growth and continuous training. Each person has an individual development plan, mentoring, and access to internal technical communities. We aim for you to learn, experiment, and evolve within an environment where teamwork and support from more senior colleagues are key.


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