Artificial Intelligence Engineer ID87374

AgileEngine, LLC.; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth

Compensation

Flexibility

Meaningful projects

Culture

Well-being

Descripción de la vacante

AgileEngine in Madrid is seeking an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs, automate complex troubleshooting, and integrate Gen AI capabilities like RAG and vector databases into production systems.

The role emphasizes software engineering over research, with delivery of scalable data-processing pipelines, API integrations, and robust testing while aligning with SDLC best practices and deployment automation.

Formación

• 4+ years of software engineering experience.
• Strong Python development and REST API design.
• Experience integrating Gen AI APIs (OpenAI, Anthropic) and RAG concepts.
• Familiar with SDLC practices, GitHub, Jenkins, CI/CD, testing and security scanning.

Responsabilidades

• Design and build AI agents that analyze discovery logs and failures at scale.
• Develop agents to classify, correlate failures, troubleshoot, and recommend fixes.
• Enable AI agents to propose/generate corrections to probes and patterns with safeguards for production.
• Create data-processing pipelines and API integrations to feed telemetry into the AI ecosystem.

Conocimientos

Python development

REST API design

Gen AI APIs

RAG

Vector databases

SDLC practices

GitHub

Jenkins

CI/CD

Herramientas

OpenAI API

Anthropic API

Descripción del empleo

Artificial Intelligence Engineer ID87374

Full time | AgileEngine | Spain

Job Information

City Madrid

State/Province Madrid

28022

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs and automate complex troubleshooting. Using Python and REST APIs, this person integrates Gen AI capabilities such as RAG and vector databases into production systems, correlating failures and recommending fixes. This is a software engineering role, not a research position.

WHAT YOU WILL DO

• - Design and build AI agents that continuously analyze Discovery logs, execution results, errors, and failed discoveries at scale.
• - Develop agents capable of classifying and correlating failures, performing troubleshooting, identifying probable root causes, and recommending corrective actions.
• - Build capabilities for agents to analyze and recommend or generate corrections to probes and patterns, ensuring appropriate testing and guardrails are in place before production changes.
• - Create and manage the data-processing pipelines and API integrations required to feed telemetry from monitoring platforms into the AI ecosystem.

MUST HAVES

• - 4+ years of experience in software engineering, with advanced Python development and REST API design capabilities with experience building APIs, data-processing pipelines, integrations, automation, and production-grade engineering solutions.
• - Practical experience integrating Gen AI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts like Retrieval-Augmented Generation (RAG) and Vector databases. (Note: We need software builders, not Machine Learning researchers.)
• - Strong experience with modern software development and SDLC practices and toolchains, including Git/GitHub, Jenkins or equivalent CI/CD platforms, artifact repositories, automated testing, code quality/security scanning, release management, and deployment automation.

NICE TO HAVES

• - Experience with high-volume logs, metrics, errors, and operational datasets to identify patterns and anomalies.
• - General knowledge of Infrastructure Engineering or ServiceNow platform operations.

PERKS AND BENEFITS

• - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• - Well-being & support: access local well-being programs and people-focused support tailored to your location

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.