Junior AI Engineer (m/f/d)

United States Digital Space LLC; Berlin; Hybrid; EUR 42.000 - 60.000; Vollzeit

Benefits dieser Stelle

Hybrid work

Flexible hours

Birthday off

Mental health support

Workation (4 weeks)

Corporate benefits

Office brunch

Team events

Zusammenfassung

the company is a global AI and data consulting firm seeking a Junior AI Engineer (m/f/d) for full-time. You’ll work with data scientists, engineers, and consultants on client projects in Germany, ideally Munich or Berlin, but open to others.

You’ll learn quickly, build data pipelines, integrate APIs, and design prompts while growing with internal training and certifications. Hybrid work, flexible hours, and benefits are offered.

Qualifikationen

• Degree in computer science, ML, data engineering, or a related field.
• First practical experience with data and AI, ML or software development.
• Proficiency in Python and familiarity with cloud platforms (GCP, AWS, or Azure).
• Interest in data, LLMs, Prompt Engineering, or Retrieval-Augmented Generation (RAG).
• Bonus: Familiarity with ML libraries or DevOps tools like Docker.

Aufgaben

• Learn AI concepts with mentoring and training.
• Develop data and AI solutions from prototyping to pipelines.
• Collaborate with team and clients to understand needs and test solutions.
• Explore latest AI tools and models for real use cases.

Kenntnisse

Python

Cloud platforms

English

Ausbildung

Degree in computer science or related field

Experience with data and AI

Tools

OpenAI APIs

LangChain

GCP Vertex AI

Hugging Face

FAISS/Weaviate

Jobbeschreibung

the company, a global AI and data consulting company with rapid growth, is looking for a curious and motivated Junior AI Engineer (m/f/d) to join our tech team full-time. Are you ready to grow with us?

As a Junior AI Engineer, you'll contribute to building cutting-edge data and AI solutions in real client projects. You'll work side by side with experienced data scientists, engineers, and consultants, learning how to turn the latest data and AI technologies into impactful, scalable products. Ideally, you are located in Munich or Berlin or nearby - but if you're based elsewhere in Germany and a great fit, we would still love to hear from you.

Your responsibilities:

Learn & grow.

You’ll be part of a supportive team that helps you ramp up quickly on AI concepts, tools, and real-world applications. You’ll receive mentoring, training, and regular feedback.

Build.

You’ll contribute to the development and implementation of data and AI solutions - from prototyping and prompt design to integrating APIs and preparing data pipelines.

Collaborate.

You’ll work closely with your team and clients to understand needs, explore ideas, and test solutions – with guidance and clear responsibilities.

Explore.

You’ll stay updated on the latest data and AI tools and models and help assess how they can be used in practical ways for real use cases.

What you’ll gain:

• Hands-on experience working on 1-2 client projects per year across industries on data and AI use cases (e.g. LLM-based assistants, search, automation).
• Exposure to state-of-the-art tools like OpenAI APIs, LangChain, GCP Vertex AI, Hugging Face, and vector databases such as FAISS or Weaviate.
• A clear growth path into more senior roles, supported by internal training and external certifications.

Your mindset:

• Curious & eager to learn. You’re excited about data and AI and want to understand how to use it responsibly and effectively.
• Collaborative. You enjoy working with others, asking questions, and contributing to team outcomes.
• Solution-oriented. You like solving real problems and applying technology to create value.

Profile:

• Degree in computer science, machine learning, data engineering, or a related field.
• Experience: First practical experience (e.g. internship, student project, open source) with data and AI, machine learning, or software development.
• Proficiency in Python and familiarity with cloud platforms (GCP, AWS, or Azure).
• Interest in data, LLMs, Prompt Engineering, or Retrieval-Augmented Generation (RAG).
• Bonus: Familiarity with ML libraries (e.g. Hugging Face, LangChain) or DevOps tools (e.g. Docker).
• Languages: Strong English skills; German is a plus.
• Work Eligibility: A valid work permit for Germany.

Why the company:

• Work on real data and AI projects with leading clients from day one.
• Grow your career with mentoring, internal workshops, and certifications from partners like Google & Amazon.
• Be part of an international team with strong team spirit, flat hierarchies, and a culture of learning.
• Attractive benefits: hybrid work, flexible hours, 1 additional day off for your birthday, Christmas & New Year's Eve off, mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.

Let's shape the future of AI - together!

*Don’t worry if you don’t meet all the criteria!* *At the company, we value motivation, pragmatic problem-solving, and potential above all else. If you are excited about shaping the future of AI and ready to make a real impact, we’d love to hear from you.*

the company is a global consulting company specializing in data and AI services, headquartered in Paris. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global market leaders. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. the company is dedicated to leveraging data and AI to enhance organizations and their people.

*We believe that unique perspectives fuel innovation. At the company, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are!*

*Curious to learn more? Reach out to us at:* *bewerbung\[e-mail]**.*