AIOps Engineer — AWS Bedrock & AI Agent Architect

ERNI; Madrid; Híbrido; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Sick leave coverage

Gym discounts

Flexible remuneration

Referral bonuses

Language courses

23 vacation days

Mobile/Internet allowance

Descripción de la vacante

ERNI invites a skilled AI-focused engineer to evolve enterprise AI agents at scale. You will design and deploy LLM-based agents using AWS Bedrock AgentCore with Python, building scalable, observable, and secure serverless AI solutions.

The role emphasizes collaboration, continuous learning, and working across client projects in a hybrid office model. You will contribute to the design, industrialization, and evolution of intelligent agent ecosystems while growing through mentoring and internal

Formación

• Proven Python development with testing (pytest) and clean coding practices.
• Experience building AI applications with LLMs, prompting, context management and tool calls.
• Hands-on experience with AWS serverless services (Lambda, DynamoDB, API Gateway).
• IaC experience using AWS CDK or Terraform.
• Knowledge of agent frameworks such as LangChain, Strands Agents or LangGraph.

Responsabilidades

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

Conocimientos

Python

LLMs

Prompting

Context management

Memory handling

Tool calling

Spanish language

English language

Herramientas

AWS Lambda

DynamoDB

API Gateway

Terraform

AWS CDK

Strands Agents

LangGraph

LangChain

Descripción del empleo

ERNI invites a skilled AI-focused engineer to evolve enterprise AI agents at scale. You will design and deploy LLM-based agents using AWS Bedrock AgentCore with Python, building scalable, observable, and secure serverless AI solutions.

The role emphasizes collaboration, continuous learning, and working across client projects in a hybrid office model. You will contribute to the design, industrialization, and evolution of intelligent agent ecosystems while growing through mentoring and internal