Artificial Intelligence Engineer

The AI Engineer in the Product Innovation & AI department designs and develops IT architecture solutions leveraging foundational models, AI components, and platforms to address complex business challenges. This role focuses on creating advanced AI and deep learning solutions for transformative e-commerce projects, such as conversational commerce 2.0 solutions, document intelligence, and knowledge base platforms etc.

Responsibilities:

• Design and develop architectural solutions utilizing foundational models, AI components, and scalable platforms to address complex business challenges.
• Create detailed specifications for AI-based products and services, such as conversational agents, document intelligence systems, and agentic systems.
• Build and implement frameworks like Retrieval-Augmented Generation (RAG) and Knowledge Graphs to enable complex data relationships and contextual understanding.
• Lead technical planning, architecture development, and specification modifications to meet evolving business and technical needs.
• Assess and ensure compatibility among AI platforms, tools, and models to deliver cohesive and high-performing solutions.
• Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to align AI solutions with business objectives and customer requirements.
• Evaluate the effectiveness of deployed AI models, documenting insights and driving iterative improvements for enhanced performance and outcomes.

Requirements:

• Educational Background: Master’s degree in Computer Science, Engineering, or a related field.
• Programming Skills: Strong proficiency in Python and deep learning libraries (e.g., TensorFlow, PyTorch).
• Proficiency in designing architectures leveraging foundational models, AI platforms, and deep learning technologies.
• AI and NLP: Excellent understanding of natural language processing, including experience with language models (e.g., GPT, BERT, transformers) for text analysis and generation tasks.
• Generative AI and RAG: Familiarity with Retrieval-Augmented Generation (RAG) methods and tools to enhance model output with relevant, context-based information retrieval.
• Knowledge Graphs: Experience in building and querying Knowledge Graphs or similar data structures to support intelligent data connections is highly desirable.
• Deep Learning: Strong knowledge of deep learning architectures and algorithms (e.g., CNNs, RNNs, attention models) and their application to real-world scenarios.
• Data Processing and Analysis: Proficiency in data preprocessing, feature engineering, and analysis using tools like Pandas, NumPy, and SQL.
• Cloud and Deployment: Experience with cloud platforms (AWS, GCP, or Azure) and deploying ML models in a production environment.
• Big Data Tools: Basic understanding of big data frameworks (e.g., Spark, Hadoop) to manage and process large datasets.
• Independence and Leadership. Operates independently to apply expertise in developing and deploying scalable AI components and platforms.

What do we offer?

• Competitive salaries based on your professional experience
• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance
• Healthcare Insurance
• Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
• AUTODOC Corporate Discount
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Referral Program with attractive incentives
• Flexible working hours and hybrid work
• Fast growing international company with stable employment