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Agentic AI / ML Developer OSS Automation

Kube

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Tech stack

LTE (Telecommunication)

API

Artificial Intelligence

Configuration Management

Protocol Stack

Continuous Integration

Issue Tracking Systems

Python

Machine Learning

Operational Data Store

Software Engineering

Systems Integration

Computer Network Operations

Large Language Models

Multi-Agent Systems

Kafka

Virtual Agents

REST

Job description

We are seeking an Agentic AI / ML Developer with 6-10 years of experience to design and deliver intelligent, autonomous OSS automation solutions for telecom and network operations environments. This role focuses on applying agent -based AI architectures to automate, optimize, and augment OSS workflows such as network assurance, service fulfillment, configuration management, and closed -loop automation.

You will build AI agents that can reason over telemetry, alarms, topology, and policies; interact with OSS/NMS systems; and execute actions across the network stack. The role blends applied AI/ML, LLM -based reasoning, and deep system integration within complex, event -driven OSS landscapes. What You'll Work On

Design and implement agentic AI systems for OSS automation, enabling autonomous and semi -autonomous operational workflows

Build closed -loop automation solutions integrating sensing, decision -making, and execution across OSS components

Develop LLM -powered agents for tasks such as alarm triage, root cause analysis (RCA), incident summarization, and guided remediation

Implement multi -agent architectures coordinating assurance, optimization, and fulfillment functions

Integrate agents with OSS systems including NMS, EMS, fault management, performance management, configuration management, and inventory

Consume and reason over network telemetry (KPIs, logs, traces), alarms, topology, and service models

Implement 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 and optimization

Implement policy -aware guardrails, approvals, and rollback strategies for safe automation

Build evalu ation and monitoring frameworks to measure agent accuracy, autonomy levels, and operational impact, o Agent frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or similar)

o Solid understanding of telecom OSS domains, such as:

Fault, Performance, Configuration, and Service Management (FCAPS)

Network assurance and service assurance

Closed -loop and intent -driven automation

Experience working with network telemetry, alarms, and events

Requirements

6-10 years of experience in AI/ML engineering, software engineering, or OSS automation

Strong proficiency in Python and experience building production -grade automation systems

Hands -on experience with agentic AI / LLM -based systems, including, # Knowledge of event -driven and streaming architectures (e.g., Kafka, Pub/Sub)

Familiarity with REST APIs, TM Forum Open APIs, or vendor -specific OSS interfaces

Experience deploying AI/ML solutions in cloud or hybrid environments

Strong engineering discipline (testing, CI/CD, observability)

Ability to work across operations, engineering, and product teams, @ Experience with 5G / LTE OSS, including RAN, transport, or core network domains, @ 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

Benefits & conditions

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 professionally.

Time flexibility: our life is not just a working day; we give you flexibility both in entry and exit. In addition, we enjoy 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 are committed to a flexible working model: hybrid, remote or office -based, you can choose what best suits your personal and professional needs (within Spain).

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 out? Join us!

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