TL;DR

Junior LLM Agent Developer (AI Engineering): Supports the development and deployment of AI agents powered by large language models (LLMs) to enhance network reliability, diagnostics, and operational efficiency for Internet Service Providers (ISPs) with an accent on network automation and operational support tooling. Focus on building adaptive AI agents to streamline fault detection, reporting, and customer interactions.

Location: Irvine, CA, USA. Also operating in Singapore, Denmark, Spain and Vietnam.

Company

%hirify_global% delivers a robust AI-driven, analytics-based orchestration platform and a wide portfolio of next-gen high-speed routers.

What you will do

Assist in the development of LLM-based agents to support network diagnostics, ticketing, and operational workflows.
Support the integration of LLMs with network monitoring tools, dashboards, and customer support systems.
Contribute to prompt engineering and fine-tuning efforts to enhance agent accuracy in network-specific tasks.
Help build agents capable of parsing logs, alerts, and diagnostics to offer actionable insights.
Participate in implementing LLM features that automate fault detection, outage analysis, and SLA monitoring.
Collaborate with developers and network engineers to enable agent-led actions such as ticket generation, escalation, and configuration change recommendations.

Requirements

Bachelorʼs degree (or pursuing) in Computer Science, Networking, Data Science, or a related field.
1–2 years of experience or internships in software development, AI/ML, or networking environments.
Experience with Python and integrating and working with APIs.
Familiarity with networking fundamentals, such as IP addressing, DNS, or routing protocols.
Interest in DevOps/CI tools and APIs (e.g., FastAPI, RESTful services).
Willingness to learn about network monitoring and fault analysis tools.

Nice to have

Hands-on exposure to LLMs or relevant academic projects is a plus.

Culture & Benefits

Competitive remuneration package.
Health insurance.
Pension Scheme.
Flexi time, hybrid work.
Friendly office environment (pool table, darts board and gaming corner).
Daily catered lunch, sodas, coffee, snacks, etc.