Fullstack AI Engineer - Build Real AI-Powered Apps

Tms Technology

Oslo fylke

On-site

NOK 900,000 - 1,200,000

Full time

33 hours ago
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Job summary

Tms Technology is seeking a Fullstack Engineer to help build modern software and push AI-driven solutions into real-world products. You will own features from concept to production, collaborating across teams and influencing technical decisions.

You'll work on AI-powered applications, integrate LLMs, and explore agentic AI techniques while maintaining scalable architectures and robust integrations for cloud-based systems.

Qualifications

  • Experience with React and Node.js in fullstack development.
  • Strong understanding of databases, APIs and software architecture.
  • Interest in AI, LLM integrations and agentic AI development.
  • Familiarity with tools such as Google Gemini, OpenAI or Anthropic is beneficial.
  • Enjoy solving problems, taking ownership and building things from scratch.

Responsibilities

  • Building fullstack applications using TypeScript, React, Node.js and modern backend frameworks.
  • Developing AI-powered applications and integrating LLMs into real-world products.
  • Exploring and implementing agentic AI, AI agents and automated workflows.
  • Working with APIs, databases and cloud infrastructure.
  • Designing scalable architectures and reliable integrations.
  • Experimenting with new AI tools and development approaches to improve how software is built and delivered.
  • Taking ownership of projects from initial idea through to production.

Skills

React
Node.js
Fullstack development
Databases
APIs
Software architecture
AI interest
LLM integrations
Agentic AI
Ownership & initiative

Tools

Google Gemini
OpenAI
Anthropic

Job description

Tms Technology is seeking a Fullstack Engineer to help build modern software and push AI-driven solutions into real-world products. You will own features from concept to production, collaborating across teams and influencing technical decisions.

You'll work on AI-powered applications, integrate LLMs, and explore agentic AI techniques while maintaining scalable architectures and robust integrations for cloud-based systems.

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