Build production-grade agentic AI systems that analyze infrastructure discovery logs, correlate failures, identify root causes, recommend fixes, and automate troubleshooting. Develop Python services, REST APIs, data-processing pipelines, telemetry integrations, RAG workflows, and vector database capabilities. Apply testing, guardrails, CI/CD, security scanning, and deployment automation to safely deliver AI-powered operational solutions.
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.
- Upper-intermediate English level.
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
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