AI Engineer

Our client, a world-leading innovator in advanced camera technology and security solutions, is seeking an AI Engineer. Join a team shaping the future of intelligent organizations by integrating state-of-the-art LLMs and agentic AI.

ABOUT THE POSITION

In this hands-on role, you will solve complex AI challenges using innovative technology. Your focus will be on exploring, designing, and implementing AI-driven features by integrating state-of-the-art LLMs and agentic architectures (MCP/Agents) into our client's internal tools and processes. You will join a dynamic AI team that collaborates cross-functionally across the organization.

You are offered

Work with cutting-edge advancements in agentic AI and autonomous systems
Contribute to projects with global impact at a market leader
Enjoy a stimulating work environment known for strong company culture and a focus on collaboration

RESPONSIBILITIES

Work tasks

Design, develop, and deploy robust AI applications and services, primarily in Python.
Explore and implement sophisticated agentic flows and architectures.
Build tools, scripts, and simpler interfaces to support AI development and operations.
Collaborate with Data Engineers and software engineers to build robust data pipelines.
Participate in code reviews and share knowledge to elevate team competence.

WE ARE LOOKING FOR YOU WHO

Educational background: Bachelor’s or Master’s degree in Computer Science, Engineering Physics, or a related field
At least 1 year professional experience in software development with a focus on AI/ML
Strong proficiency in Python
Understanding of LLM & Agentic systems
Documented experience developing and integrating REST APIs

It is meritorious if you have

A portfolio demonstrating practical Python skills (e.g., own applications, tools, or interfaces)
Experience with frameworks like LangChain, LlamaIndex, or Semantic Kernel
Knowledge of Data Engineering (ETL processes and data pipelines)
Experience working in a Linux environment
Engagement in developer communities or contributions to open-source projects

To succeed in the role, your personal skills are:

Supportive
Goal oriented
Social
Responsible

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position are directed to Academic Work.

Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.