AI/ML Engineer – OSS Automation

Job Description Position Summary We are looking for an AI/ML Engineer with 6 years of experience in telecom OSS/network operations environments, who has built or is building applied AI/LLM-based automation on top of that domain expertise. This role is grounded in deep telecom OSS knowledge first, with agentic AI as the applied layer on top, not the other way around. The role focuses on automating and augmenting OSS workflows such as network assurance, service fulfillment, and configuration management, using LLM-based agents for tasks like alarm triage, RCA, and guided remediation, always within policy-aware guardrails. What You'll Work On Design and implement LLM -based agents for OSS tasks: alarm triage, incident summarization, RCA, remediation suggestions Build closed-loop automation solutions integrating sensing, decision-making, and execution across OSS components Integrate agents with OSS/NMS systems : fault management, performance management, configuration management, inventory Consume and reason over network telemetry (KPIs, logs, traces), alarms, topology, and service models Build RAG pipelines using operational data, runbooks, policies, and standards (e.g., 3GPP, TM Forum) Design agent tooling and action interfaces to safely execute network changes (config updates, parameter tuning, workflow triggers) Apply ML techniques (anomaly detection, forecasting, classification) alongside LLM reasoning for proactive assurance Implement guardrails , approvals, and rollback strategies for safe automation Build evaluation and monitoring frameworks to measure agent accuracy and operational impact Deploy AI automation services in cloud-native, event-driven architectures Requirements 6 years of experience in telecom OSS domains, with solid hands-on knowledge of: Fault, Performance, Configuration, and Service Management (FCAPS) Network assurance and service assurance Closed-loop or intent-driven automation concepts Strong Python skills and experience building production-grade automation systems Practical, demonstrable experience with LLM-based systems (this can be more recent than the OSS experience, given how young these frameworks are): At least one agent framework (LangChain, LangGraph, AutoGen, CrewAI, or similar) Tool/function calling and structured outputs RAG architectures using vector databases Experience working with network telemetry, alarms, and events Familiarity with REST APIs, TM Forum Open APIs , or vendor-specific OSS interfaces Knowledge of event-driven and streaming architectures (e.g., Kafka, Pub/Sub) Experience deploying solutions in cloud or hybrid environments Strong engineering discipline (testing, CI/CD, observability) Nice to Have Experience with 5G/LTE OSS , including RAN, transport, or core network domains Knowledge of AIOps platforms and operational analytics Experience with time-series analysis and large-scale KPI processing Familiarity with runbook automation , ITSM integration, or ticketing systems Experience with policy engines or intent-based networking concepts Exposure to O-RAN architectures , non-RT RIC, rApps, or xApps Understanding of autonomy levels (L1–L4/L5) and operational governance Benefits Competitive salary, health insurance and Flexible Compensation Plan as an enterprise benefit Annual training budget to help you stay technologically up to date and grow profesionally Time flexibility: our life is not just a working day; we give you flexibility both in entry and exit. In addition, we wnjoy a reduced working day on Fridays and Summer (July and August) Our projects are cutting-edge in technology and are in both national and international environments, making your growth global We provide a flexible working mode l, adapted to the needs of each role and team, with options from remote to hybrid or office-based arrangements. Our employee satisfaction survey tell us that we have a great work environment and great professionals in the company. Do you want to check it? Join us!