Agentic AI Full-Stack Engineer for Telecom

Ericsson AB

Stockholms kommun

On-site

SEK 520,000 - 660,000

Full time

14 days+

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Job summary

Ericsson AB is seeking a recent graduate or early-career AI Full-Stack Developer to design, build, and deploy AI-powered telecom applications. You will work across backend services, web interfaces, Copilot Studio, cloud platforms, AI orchestration frameworks, and network data analytics, collaborating with senior engineers and data scientists.

You will prototype agent workflows, integrate with Docker/Kubernetes deployments, and contribute to robust AI-driven solutions in a global team.

Qualifications

  • Bachelor’s or Master’s degree required or equivalent
  • Strong programming skills in Python and JavaScript/TypeScript
  • Experience with full-stack development projects, coursework or internships

Responsibilities

  • Develop and integrate AI agents for telecom applications
  • Build backend APIs and web frontends for agent workflows
  • Prototype Copilot Studio solutions with agents, connectors, and knowledge sources
  • Analyze telecom network data for insights, troubleshooting and automation
  • Explore cloud AI platforms like AWS Bedrock and Azure AI Foundry for LLM solutions
  • Containerize and deploy services using Docker, Kubernetes and cloud-native practices
  • Support CI/CD, automated testing, code reviews and engineering best practices
  • Collaborate in an Agile team with engineers, architects and data scientists
  • Prototype ideas for agent orchestration, scalability, observability and responsible AI

Skills

Python
JavaScript/TypeScript
Full-stack development
APIs, web apps, databases
AI, LLMs
Team collaboration

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Telecommunications, or a related field

Job description

Ericsson AB is seeking a recent graduate or early-career AI Full-Stack Developer to design, build, and deploy AI-powered telecom applications. You will work across backend services, web interfaces, Copilot Studio, cloud platforms, AI orchestration frameworks, and network data analytics, collaborating with senior engineers and data scientists.

You will prototype agent workflows, integrate with Docker/Kubernetes deployments, and contribute to robust AI-driven solutions in a global team.

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