Offer summary

Qualifications:

Master's degree in Computer Science, Engineering, or related field., Strong proficiency in Python and deep learning libraries like TensorFlow or PyTorch., Extensive experience (7-9 years) in AI, NLP, and deep learning architectures., Excellent understanding of natural language processing, generative AI, and knowledge graphs..

Key responsibilities:

Design and develop AI architecture solutions using foundational models and scalable platforms.

Create specifications for AI products such as conversational agents and document intelligence systems.

Implement frameworks like Retrieval-Augmented Generation (RAG) and Knowledge Graphs.

Collaborate with cross-functional teams to align AI solutions with business goals.

Job description

Company Description

AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe.
Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.
Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!

Job Description

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.
Should have 7-9 years of experience in a similar role/area

What do we offer?

Competitive salaries based on your professional experience
Stable employment in a fast-growing international company
A cafeteria benefits system that lets you choose from options such as life insurance, private medical care, a sports card, cinema tickets, and more
Transportation services available for all warehouse employees
Guaranteed 26 vacation days per calendar year, regardless of seniority
An extra day off to celebrate your birthday
Mental Wellbeing Program – free and confidential mental and physical health support services for you and your immediate family, covering a wide range of personal and work-related issues
AUTODOC corporate discount (up to €1,080 per year) for purchasing car parts at special rates for personal use
Opportunities for advancement, further training (over 650 courses on soft and hard skills available on our e-learning platform), and coaching
Free English, German, and Polish language classes
Referral program with attractive incentives
Flexible working hours and hybrid work model