Remote AI Engineer: GenAI, RAG & Automation

AgileEngine, LLC.; Województwo pomorskie; On-site; PLN 162,000 - 198,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility: remote work 100%

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine is seeking an Agentic AI Engineer in Poland to design and build AI agents that analyze infrastructure logs, automate complex troubleshooting, and integrate Gen AI capabilities using Python and REST APIs. You will work on data-processing pipelines feeding telemetry into the AI ecosystem and ensure robust testing before production.

The role emphasizes production-grade engineering with experience in Gen AI APIs (OpenAI, Anthropic) and RAG concepts, plus strong SDLC practices and CI/CD

Qualifications

• 4+ years of software engineering experience with Python and REST APIs.
• Experience integrating Gen AI APIs (OpenAI, Anthropic) and RAG concepts.
• Strong SDLC knowledge and CI/CD tooling like GitHub, Jenkins.
• Proven ability to design production-grade data-processing pipelines and APIs.

Responsibilities

• Design and build AI agents to analyze discovery logs at scale.
• Develop agents to classify failures, troubleshoot, and suggest fixes.
• Create data pipelines and API integrations for telemetry into AI ecosystem.
• Ensure testing and guardrails before production changes.

Skills

Python development

REST API design

Gen AI APIs integration

SDLC practices

Git/GitHub

CI/CD tooling

Tools

OpenAI API

Anthropic API

Vector databases

RAG

Job description

AgileEngine is seeking an Agentic AI Engineer in Poland to design and build AI agents that analyze infrastructure logs, automate complex troubleshooting, and integrate Gen AI capabilities using Python and REST APIs. You will work on data-processing pipelines feeding telemetry into the AI ecosystem and ensure robust testing before production.

The role emphasizes production-grade engineering with experience in Gen AI APIs (OpenAI, Anthropic) and RAG concepts, plus strong SDLC practices and CI/CD