The Role
Design and build agentic AI systems for ServiceNow Discovery troubleshooting. Develop agents that analyze logs, execution results, errors, and failed discoveries; classify failures, identify root causes, recommend corrective actions, and generate guarded corrections to probes and patterns. Build data-processing pipelines and API integrations for monitoring telemetry. Apply production-grade software engineering, Gen AI APIs, RAG, vector databases, CI/CD, automated testing, and secure release practices.
Summary Generated by Built In
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 join our ServiceNow Discovery Engineering squad, focusing on the software engineering and AI architecture required to automate complex troubleshooting. You will design and build AI agents that analyze Discovery logs, execution results, errors, and failed discoveries at scale, while partnering closely with a ServiceNow domain expert who will provide the infrastructure data and operational context needed to power your AI models.
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
- 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
Skills Required
- Advanced Python development experience
- REST API design and development experience
- Experience building APIs, data-processing pipelines, integrations, automation, and production-grade engineering solutions
- Practical experience integrating generative AI APIs such as OpenAI or Anthropic
- Working understanding of Retrieval-Augmented Generation and vector databases
- Strong experience with modern software development and SDLC practices
- Experience with Git, GitHub, Jenkins or equivalent CI/CD platforms, artifact repositories, automated testing, code quality and security scanning, release management, and deployment automation
- Upper-intermediate English proficiency
- Experience with high-volume logs, metrics, errors, and operational datasets
- General knowledge of infrastructure engineering or ServiceNow platform operations
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
