Offer summary

Qualifications:

Pursuing or recently completed a degree in Computer Science, Engineering, or a related field., Familiarity with AI concepts and tools, particularly in building prototypes and workflows., Basic understanding of APIs and enterprise tools like Jira, Notion, and GitHub., Experience with programming languages relevant to AI development, such as Python..

Key responsibilities:

Collaborate with senior engineers to develop and test AI workflows that execute complex tasks.

Build prototypes of LLM-powered agents for various enterprise applications.

Design and implement AI flows that enable autonomous task completion with minimal user input.

Participate in team reviews and brainstorming sessions to enhance AI solutions and debug workflows.

Job description

About us:

Our mission is to supercharge IT enterprise organizations with custom AI solutions. Headquartered in the heart of Munich with a hub in Lisbon, we’re a team of builders, dreamers, and problem-solvers tackling some of the most exciting and complex challenges in AI native development adoption.

We operate on speed, adaptability, and extreme ownership. That means we move fast, stay flexible, and take full responsibility for our impact. Our clients trust us because we don’t ship generic tools — we embed AI into real-world enterprise workflows with precision and empathy.

What You’ll Do:

As an intern or recent grad, you’ll work closely with senior engineers to build and test agentic workflows — AI systems that go beyond chat to actually execute complex tasks by interacting with APIs, tools, and data sources.

You’ll:

Build early-stage prototypes of LLM-powered agents that complete tasks across enterprise tools like Jira, Notion, GitHub, and internal APIs.
Design step-by-step flows where AI can reason, retrieve info, call functions, and complete actions autonomously or with minimal user input.
Help evaluate open-source agent frameworks like LangChain, CrewAI, or AutoGen, and contribute to building internal tools from scratch when needed.
Assist in prompt engineering and retrieval-augmented generation (RAG) setups to make agent behavior more reliable.
Be part of regular team reviews and brainstorms — sharing learnings, debugging complex flows, and pushing ideas forward.

Required profile