Remote Agentic AI Engineer – Python & RAG Expert

AgileEngine; San Miguel de Tucumán; Presencial; ARS 1.500.000 - 2.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive pay

Remote work

Meaningful, modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking an Agentic AI Engineer to design and build AI agents that analyze ServiceNow Discovery logs at enterprise scale, classify failures, perform root-cause analysis, and suggest corrective actions.

You will integrate LLM APIs, work with RAG and vector databases, and convert runbooks into reusable workflows using Python, with a focus on observability, testing, and production-grade engineering.

Formación

• 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.
• 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.

Responsabilidades

• 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.

Conocimientos

Python development

REST API design

CI/CD pipelines

Git/GitHub

OpenAI integration

Anthropic integration

RAG

Vector databases

Linux/Windows

Networking basics

Herramientas

ServiceNow Discovery

Prometheus

OpenTelemetry

Grafana

Linux

Windows Server

Descripción del empleo

AgileEngine is seeking an Agentic AI Engineer to design and build AI agents that analyze ServiceNow Discovery logs at enterprise scale, classify failures, perform root-cause analysis, and suggest corrective actions.

You will integrate LLM APIs, work with RAG and vector databases, and convert runbooks into reusable workflows using Python, with a focus on observability, testing, and production-grade engineering.