Artificial Intelligence Engineer ID87374
Skills
About the role
This is a mid-level agentic AI software engineering role at AgileEngine, fully remote, building AI agents that analyze infrastructure discovery logs and automate troubleshooting. It suits a software engineer with strong Python and REST API skills who wants to integrate Gen AI into production systems rather than do ML research. You'll build agents that classify and correlate failures, identify root causes and recommend fixes.
What you’ll do
- Design and build AI agents that continuously analyze discovery logs, execution results and failed discoveries at scale.
- Develop agents that classify and correlate failures and recommend corrective actions.
- Build capabilities for agents to recommend or generate corrections to probes and patterns with testing and guardrails.
- Create data-processing pipelines and API integrations feeding telemetry into the AI ecosystem.
What they’re looking for
- 4+ years of software engineering experience with advanced Python and REST API design.
- Practical experience integrating Gen AI APIs (e.g. OpenAI, Anthropic) into applications.
- Working understanding of RAG and vector databases.
- Strong experience with SDLC practices including Git/GitHub, CI/CD, automated testing and deployment automation.
- Upper-intermediate English level.
Nice to have
- Experience with high-volume logs, metrics and operational datasets.
- General knowledge of infrastructure engineering or ServiceNow platform operations.
What’s on offer
- 100% remote work with flexible hours
- Mentorship, internal TechTalks and an annual learning budget
- Competitive compensation with regular performance reviews
Questions about this role
Is this role remote?
Yes, the posting states you work 100% remotely with flexible hours.
How many years of experience do I need?
4+ years of software engineering experience.
Is this a research role?
No, the posting states this is a software engineering role, not a research position.
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