AI Agent Engineer - Python - Generative AI

1500 €/mensuales

ERNI Spain

Can you imagine helping bring AI agents from prototype to production in a high-impact environment? ❤️

Join our expert team to work on a Generative AI initiative, contributing to the development and industrialization of LLM-based agents. You will apply your knowledge of Python, AWS Bedrock AgentCore, serverless architectures and observability to build scalable and production-ready 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?

With people. Besides your team and manager, you will have several support figures like a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months.

And the second most important person after you, your mentor, who will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long-term goals.

At ERNI, we highly value experience and technical knowledge. As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts.
And if you are interested in mentoring, there is also space for that: supporting other ERNIans while still focusing on the technical excellence that sets us apart.

What you will bring

• Strong experience with Python 3.11+, testing with pytest and maintainable software development practices.
• Hands-on experience building LLM applications, including prompting, tool calling, memory management and cost optimization.
• Production experience with AWS serverless services such as Lambda, DynamoDB, API Gateway, Kinesis and IAM.
• Experience with Infrastructure as Code using AWS CDK or Terraform.
• Knowledge of agent frameworks such as Strands Agents, LangGraph or LangChain, plus CI/CD with GitHub Actions.

You will be responsible for designing, building and deploying LLM agents using AWS Bedrock AgentCore and Python while developing scalable serverless architectures on AWS. You will integrate AI models into agent workflows, implement observability and monitoring, participate in rapid PoCs and support their evolution into production-ready products while collaborating closely with stakeholders and development teams.

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.

Our working model ‍

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!