AI Engineer - AWS Bedrock - Generative AI

ERNI - Swiss Software Engineering; Madrid; Híbrido; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Mentoring program

Descripción de la vacante

ERNI - Swiss Software Engineering is seeking an engineer to contribute to Generative AI initiatives, designing, industrializing and evolving intelligent agent ecosystems. You will apply Python, AWS Bedrock AgentCore and serverless architectures to build scalable, observable and secure AI solutions.

The team supports growth with individual development plans, mentoring, and access to internal technical communities.

Formación

• Proficient in Python with pytest testing and maintainable code practices.
• Experience building AI apps with LLMs, prompting, and tool calling.
• Hands-on with AWS serverless services including Lambda, DynamoDB and API Gateway.
• Experience with IaC using AWS CDK or Terraform.
• Knowledge of agent frameworks such as Strands Agents, LangGraph or LangChain.
• Fluent in Spanish and English.

Responsabilidades

• Design, build and deploy LLM-based agents using AWS Bedrock AgentCore and Python.
• Develop cloud-native serverless solutions and integrate enterprise systems.
• Implement observability and monitoring across AI services.
• Collaborate with stakeholders to evolve proofs of concept into production-ready AI products.
• Ensure scalability, security and maintainability.

Conocimientos

Python

pytest

LLMs & prompting

context management

memory handling

tool calling

observability

security

Herramientas

AWS Lambda

DynamoDB

API Gateway

Event-driven architectures

AWS CDK

Terraform

LangChain

LangGraph

Strands Agents

Bedrock AgentCore

Descripción del empleo

Can you imagine contributing to the evolution of enterprise AI agents operating at scale?

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.

What you will bring

• 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.
• Fluent in Spanish and English.

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.

What if the project ends?

We work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.

We ask you to be available for key meetings. Need to leave for a doctor's appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40-hour workweek.

Our model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other's faces; the best stories always happen in the office!

You will also enjoy:

And the salary?

We will discuss it during the first call. If it is important to you, feel free to ask!