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Junior AI Engineer
taod Consulting GmbHJunior AI Engineer developing innovative generative AI applications at taod Consulting. Collaborating with Data Scientists and Engineers on end-to-end AI solutions in a hybrid work environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing scalable generative AI applications using Python and relevant libraries, while effectively integrating AI infrastructures and delivering client-focused solutions. Proficient in CI/CD workflows and infrastructure-as-code within cloud environments, with strong communication skills in German.
Highest-signal resume keywords
Python ProficiencyFastAPI DevelopmentRAG Infrastructure ExperienceCI/CD WorkflowsGerman Language Skills
ATS Keywords
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Hard Skills
PythonAPI DevelopmentFastAPIPydanticRAG InfrastructureLLMsEmbeddingsVector DatabasesCI/CDInfrastructure-as-Code
Soft Skills
Clear CommunicationClient Advisory
Tools & Technologies
AzureAI FrameworksCloud Infrastructure
Industry Keywords
Generative AIAI ApplicationsScalable ArchitecturesData IntegrationProduction Deployment
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- You will work from day one on exciting AI projects, take on responsibility, and learn from the best.
- Pioneering work with GenAI projects: Work closely with our Data Scientists and Engineers to build a strong team that develops end-to-end generative AI applications and drives innovative solutions.
- Integration and utilization of GenAI: Integrate and orchestrate services from cutting-edge AI infrastructures into a robust backend — from the data source to the user interface.
- Scalable cloud architectures: Develop scalable software and infrastructures that accelerate AI adoption for our clients and ensure long-term success.
- Consulting & workshops: Deliver real value by advising and supporting our clients from concept through to production deployment.
Requirements
What you’ll need- Degree, vocational training, or a comparable qualification
- Strong proficiency in Python and relevant libraries for API development (FastAPI, Pydantic), as well as AI-specific frameworks and tools
- Initial experience in building RAG infrastructures (LLMs, embeddings & vector databases) in an Azure context (or similar)
- Initial experience with CI/CD workflows and infrastructure-as-code in a cloud context
- Very good German language skills and the ability to present complex topics clearly and understandably.
Benefits
Comp & perks- The AI industry is growing rapidly — and we’re growing with it.
- We stay on the cutting edge: using the latest technologies, testing trends, and continuously questioning and improving ourselves.
- Whether at home, in our stylish offices, or on a workation: you choose where you’re most productive.
- We still look forward to seeing you regularly in person.
- Every minute you invest is directly rewarded — with full overtime compensation and flexible working hours.
- Take on responsibility quickly in an agile environment with flat hierarchies, short decision-making paths, and direct communication.
- A team of curious minds: plenty of time and support for paid training and certifications, as well as regular feedback and development conversations.
- Summer trips, legendary Christmas parties, and shared after-work events — join the best team.
- We offer the "doQtor" service, a discounted Urban Sports membership, and company pension plans.
- Modern offices with height-adjustable desks, shared breaks at the PlayStation/Switch and table tennis, or a bit of exercise in our on-site gym.