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Description:
Drive architecture, development, and optimization of (generative) AI applications focusing on model evaluation, retrieval-augmented generation (RAG), and prompt engineering.
Implement end-to-end RAG pipelines and integrate with internal data sources.
Design and integrate data storage for AI applications using vector search in Snowflake and PostgreSQL.
Analyze and integrate data from various sources ensuring high data quality for AI-driven solutions.
Experiment with LLM models to improve performance and applicability across business use cases.
Establish robust engineering practices for GenAI applications.
Collaborate with AI platform team to enhance AI capabilities across the BMW Group.
Share expertise in Generative AI and software engineering with other teams.
Requirements:
University degree in Computer Science, Engineering, or related field.
At least 7 years of professional software engineering experience, focusing on backend or data-intensive applications.
Strong proficiency in Python and experience building production systems.
Understanding of software development best practices (clean code, testing, CI/CD).
Hands-on experience with LLM APIs and orchestration frameworks.
Proven experience with RAG architectures and vector databases.
Experience with data ingestion and preprocessing for LLM applications.
Familiarity with MLOps or LLMOps concepts for deploying and maintaining AI models.
Strong problem-solving skills and ability to work in a collaborative, agile environment.
Excellent English communication skills.
Benefits:
Premium medical package and lunch tickets.
13th salary/yearly bonuses and enterprise job security.
Supportive culture valuing ownership, autonomy, and work-life balance.
Flexible working program with openness to remote work.
Diverse opportunities in Software Development with international exposure.
Access to leading learning platforms and career growth opportunities.