AI Agent Platform Engineer — Hybrid, Scalable LLM Solutions

ERNI

Barcelona

Híbrido

EUR 65.000 - 90.000

Jornada completa

Hace 6 días
Sé de los primeros/as/es en solicitar esta vacante
Generador de candidaturas

Transforma esta oferta en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

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Ventajas ofrecidas por este puesto de trabajo

Certifications covered
Private health insurance
Sick leave
Emotional support
Gym discounts
Flexible remuneration
Referral bonuses
23 vacation days
Language courses

Descripción de la vacante

ERNI in Barcelona is seeking an experienced AI/ML engineer to design and deploy scalable AI agents and generative solutions within a hybrid work setup. You will work with Python, AWS Bedrock, LLM frameworks and serverless tech across multiple business domains.

You will collaborate with multidisciplinary teams, contribute to PoCs turning production-ready, and receive structured mentoring and development plans while benefiting from strong training opportunities.

Formación

  • Strong Python experience including type hints, pytest and clean code practices.
  • Hands-on experience building LLM applications with AWS Bedrock and tools.
  • Production experience with AWS serverless services and IaC tooling.

Responsabilidades

  • Design, build and deploy AI agents and generative AI solutions.
  • Develop scalable serverless architectures and integrate AI with enterprise systems.
  • Implement observability, security and governance for production environments.

Conocimientos

Python
LLM development
Clean code
Type hints

Herramientas

AWS Bedrock
Lambda
DynamoDB
API Gateway
Kinesis
IAM
AWS CDK
Terraform
LangChain
Strands
LangGraph

Descripción del empleo

ERNI in Barcelona is seeking an experienced AI/ML engineer to design and deploy scalable AI agents and generative solutions within a hybrid work setup. You will work with Python, AWS Bedrock, LLM frameworks and serverless tech across multiple business domains.

You will collaborate with multidisciplinary teams, contribute to PoCs turning production-ready, and receive structured mentoring and development plans while benefiting from strong training opportunities.

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