Intern - AI Engineer

Arctis AI; München; Vor Ort; EUR 8.900 - 13.000; Teilzeit

Benefits dieser Stelle

Founder-level ownership

Steepest learning curve

Claude Code access

EGYM Wellpass

Team dinners and offsites

Zusammenfassung

Arctis AI is seeking an AI Engineering Intern to work on the agentic systems behind bid comparison, clause extraction, and risk detection, handling large volumes of unstructured construction data. You will contribute to deployments, data integration, and rapid prototyping.

As a student with hands-on coding experience and a passion for AI, you’ll join a founder-led team in Munich, collaborating closely with the founders and core engineers.

Qualifikationen

• Currently studying computer science, AI, or a related field, with experience shipping real code.
• Hands-on experience with LLMs, through projects, hackathons, or prior internships.
• Curiosity about RAG pipelines and agent orchestration, and a desire to learn the hard parts, not just the tutorial version.

Aufgaben

• Deploy end-to-end rollout for deployments, including data onboarding, configuration, and launch.
• Get customer data into shape and connect Arctis to systems teams use.
• Build fast prototypes and collaborate to turn good ones into product.
• Incorporate field learnings into the roadmap by identifying patterns and future needs.

Kenntnisse

Code shipping

LLMs

RAG pipelines

Agent orchestration

Builder mindset

High agency

Ausbildung

Pursuing a degree in Computer Science / AI

Tools

Claude Code

Jobbeschreibung

Preconstruction is the foundation of every project, where the work gets chosen, priced, and put together. But while the projects have grown, the documents multiplied, and the requirements gotten heavier, the way the work gets done looks almost the same as it did decades ago.

Arctis AI is transforming how preconstruction works, making the people who run it faster, sharper, and able to take on more than ever before.

We're a small, talent-dense team out of TUM, with backgrounds spanning Bain, KPMG, SAP, Snowflake, and AWS. We're backed by PT1, EWOR, and operators and investors from European construction and tech, including the owner of PERI and partners at Atlantic Labs and La Famiglia.

About the Role

As an AI Engineering Intern, you'll work directly on the agentic systems behind bid comparison, clause extraction, and risk detection, on top of large volumes of unstructured construction data.

What You'll Work On

Deployments: Run each rollout end-to-end - data onboarding, agent configuration, pipeline setup, launch. When something blocks go-live, it's yours to clear.

Data & integrations: Get customer data into shape - past projects, prices, documents, sub lists and connect Arctis to the systems precon teams use.

Prototyping: Build fast prototypes that solve emerging customer problems, then work with the core team to turn the good ones into product.

Feedback loop: You'll see how the product holds up in the field before anyone else. Bring what you learn back into the roadmap - which failures repeat, which requests keep coming up, what to build next.

Who We're Looking For

Currently studying computer science, AI, or a related field, with experience shipping real code

Hands-on experience with LLMs, whether through projects, hackathons, or prior internships

Curiosity about RAG pipelines and agent orchestration, and a desire to learn the hard parts, not just the tutorial version

A builder mindset and a preference for seeing work used, not just graded

High agency: fixing problems, not flagging them and waiting

Readiness to work onsite in Munich

What You Get

Founder-level ownership of the entire deployment motion.

Steepest possible learning curve. From week one you're on live customers, working directly with the founders. You won't be handed tasks, you'll be handed problems, and how you solve them is up to you.

Whatever tools you need. Hardware, Claude Code, unlimited AI credits, productivity setup, just ask.

EGYM Wellpass, team dinners, and offsites.