> Markdown version of [/jobs/ext/2168652-ai-engineer-id80138](https://www.wearedevelopers.com/jobs/ext/2168652-ai-engineer-id80138). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer ID80138 - **Company:** Número De - **Location:** Madrid, Spain (Remote available) - **Salary:** €40,000.0 - €60,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, User Authentication, Automation of Tests, Cloud Computing, Configuration Management Databases, Software Quality, Communications Protocols, Continuous Integration, Corona (Software Development Kit), Linux, Domain Name System (DNS), Python (Programming Language), Machine Learning, Windows Servers, Routing, Systems Development Life Cycle, Release Management, Prometheus, Simple Network Management Protocols, Systems Integration, TCP/IP, Toolchain, Data Processing, Large Language Models, Grafana, Generative AI, Firewalls (Computer Science), Build Management, Deployment Automation, Virtual Agents, Api Design, Restful APIs, Network Server, Jenkins, Servicenow, Vulnerability Analysis - **Published:** August 21, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!, Advanced Python development experience of at least 4+ years, and REST API design capabilities with experience building APIs, data-processing pipelines, integrations, automation, and production-grade engineering solutions. - 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. - 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.) - Practical knowledge of Infrastructure Engineering with Linux, Windows Server, compute, virtualization/cloud infrastructure, authentication, processes/services, and infrastructure troubleshooting. - Working knowledge of TCP/IP, DNS, routing, firewalls, ports, SSH, WMI/WinRM, SNMP, HTTP/S, and common network and infrastructure troubleshooting techniques. - Experience with high-volume logs, metrics, errors, and operational datasets to identify patterns, anomalies, trends, and root causes and turn them into actionable engineering improvements. - Upper-Intermediate English level. NICE TO HAVES - Hands-on experience with ServiceNow Discovery, including MID Servers, Discovery Patterns/Probes, credentials, schedules, Discovery Status, ECC Queue, and troubleshooting Discovery failures. - Experience developing or modifying ServiceNow Discovery Patterns and Probes and understanding how infrastructure attributes and relationships are discovered. - Experience with ServiceNow CMDB/CSDM, Configuration Items (CIs), identification/reconciliation, relationships, and CMDB data quality. - Experience with observability technologies such as Prometheus, OpenTelemetry, alongside Grafana. ## Description We are looking for an Agentic AI Engineer to design and build AI agents that continuously analyze ServiceNow Discovery logs, classify failures, perform root cause analysis, and recommend or generate corrective actions at enterprise scale across millions of infrastructure targets. You will develop agentic observability capabilities for MID Servers and Discovery schedules, integrate LLM APIs including OpenAI and Anthropic using RAG and vector databases, and convert operational runbooks into reusable agentic workflows using advanced Python engineering. Strong infrastructure troubleshooting and network protocol knowledge is required alongside production-grade Python and CI/CD experience. 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 ServiceNow Discovery probes and patterns, with appropriate testing, guardrails, and human approval before production changes. - Convert operational knowledge, runbooks, and recurring troubleshooting procedures into reusable agentic workflows, progressively reducing manual investigation and improving Discovery reliability. - Design and build AI agents that continuously assess the health of the ServiceNow Discovery ecosystem, including MID Servers, discovery schedules/playbooks, target execution, throughput, latency, failures, retries, and discovery coverage. - Develop agents that regularly collect, aggregate, and interpret metrics and telemetry from ServiceNow Discovery, MID Servers, logs, monitoring platforms, and other relevant data sources. ## Related Videos - [An Applied Introduction to eBPF with Go](https://www.wearedevelopers.com/videos/1075-an-applied-introduction-to-ebpf-with-go) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Turning Container security up to 11 with Capabilities](https://www.wearedevelopers.com/videos/718-turning-container-security-up-to-11-with-capabilities) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)