Remote AI Engineer: Build Generative AI Agents & Automation

AgileEngine, LLC.; Porto; Presencial; EUR 45 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Growth without limits

Competitive compensation

Remote work with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being & support

Resumo da oferta

AgileEngine is seeking an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs and automate complex troubleshooting. You will leverage Python and REST APIs to integrate Gen AI capabilities such as RAG and vector databases into production systems. This is a software engineering role, not a research position.

Key responsibilities include designing scalable AI agents, correlating failures, and driving production-ready improvements with strong SDLC discipline.

Qualificações

• 4+ years of software engineering experience.
• Advanced Python development and REST API design.
• Experience integrating Gen AI APIs (OpenAI, Anthropic) and RAG/vector databases.
• Strong SDLC practices and toolchains (Git/GitHub, Jenkins, artifact repos, automated testing, security scanning, release management, deployment automation).

Responsabilidades

• Design and build AI agents that continually analyze Discovery logs and failures at scale.
• Classify, correlate failures, troubleshoot, and recommend corrective actions.
• Analyze probes and patterns, test guardrails, and propose production-ready changes.
• Create data pipelines and API integrations feeding telemetry into the AI ecosystem.

Conhecimentos

Python development

REST API design

Gen AI APIs

SDLC practices

CI/CD

Ferramentas

Git/GitHub

Jenkins

Automated testing

Code quality scanning

Descrição da oferta de emprego

AgileEngine is seeking an Agentic AI Engineer to build AI agents that analyze infrastructure discovery logs and automate complex troubleshooting. You will leverage Python and REST APIs to integrate Gen AI capabilities such as RAG and vector databases into production systems. This is a software engineering role, not a research position.

Key responsibilities include designing scalable AI agents, correlating failures, and driving production-ready improvements with strong SDLC discipline.