Networks TOAI Intern

Ericsson•Plano, TX

About The Position

The Networks TOAI Intern supports Ericsson’s Technology/IT Operations and AI Automation function within its cellular networking services business. The role provides hands-on experience developing AI and automation solutions to improve RAN deployment, engineering, construction, and operational workflows. The intern collaborates with technical and business teams to identify repetitive manual processes, document requirements, prototype solutions, and support deployment of AI and automation solutions that increase efficiency, improve data quality, and reduce errors. The position designs and ships AI-powered automation and agentic workflows, builds LLM/GenAI solutions backed by Python REST APIs, orchestrates agents, develops data pipelines, and integrates enterprise APIs in secure cloud-native architectures. It also supports deployment and operation of solutions using Docker and Kubernetes, preferably in Azure; monitoring and troubleshooting; documenting architectures, workflows, and pipelines; and identifying cross-functional automation opportunities. The position is based in Plano, Texas, with a stated start date of May 25, 2027. Ericsson does not sponsor U.S. work authorizations for this position and does not hire F-1 candidates working on CPT or EAD for it.

Requirements

Pursuing a bachelor’s degree in computer science or a related field of study.
Experience with Python, SQL databases, Flask, Pandas, and JSON.
Experience building REST APIs using Flask or similar frameworks.
Experience working with LLM-based systems, including prompt engineering and model configuration.
Familiarity with agent frameworks such as LangChain or LangGraph.
Experience with cloud-native architecture and API-based integrations.
Knowledge of Docker and orchestration platforms such as Kubernetes.
Experience with SQL and structured data processing.
Experience with API testing tools such as Postman.
Strong collaboration, problem-solving, and communication skills.
Experience designing agent-based workflows, including memory management, tool orchestration, and human-in-the-loop interactions.
Experience deploying AI solutions in Azure cloud environments.
Experience with YAML-based configuration and infrastructure automation.
Exposure to AI observability and application monitoring tools.
Experience with Azure Application Insights, Docker, and Kubernetes.
Must meet the stated U.S. work authorization restrictions: Ericsson does not sponsor U.S. work authorizations for this position and does not hire F-1 candidates working on CPT or EAD.

Nice To Haves

Angular (preferred) or React experience for building lightweight user interfaces.
Kubernetes (AKS) experience.
Azure experience.
Familiarity with Angular or React for building lightweight user interfaces.

Responsibilities

Design and ship AI-powered automation and agentic workflows that eliminate manual operational tasks.
Build LLM/GenAI solutions, including GPT-style interfaces, conversational agents, and workflow tools, backed by Python REST APIs.
Orchestrate agents with LangChain or LangGraph, including memory/state, tool integrations, and human-in-the-loop patterns.
Develop scalable data pipelines using Pandas, SQL, and JSON, and integrate enterprise APIs in secure cloud-native architectures.
Containerize, deploy, and operate solutions with Docker and Kubernetes (AKS), preferably in Azure.
Monitor and troubleshoot solutions using observability tools such as Azure Application Insights.
Document architectures, workflows, and pipelines.
Partner cross-functionally to identify automation opportunities that reduce cost and improve execution efficiency.
Identify repetitive manual processes, document requirements, prototype solutions, and support deployment of AI and automation solutions.