AI Engineer - Automotive

3 weeks, 6 days ago
Full-time
Senior
Software Development
Qualysoft

Qualysoft

Founded in 1999 in Vienna, Qualysoft Group is an independent IT consulting and services company that offers tailored IT solutions to international customers. With over 500 specialists in Central and Eastern Europe, Qualysoft ensures the success of ever...

Internet Software & Services
251-1K
Founded 1999

Description

  • Drive the architecture, development, and optimization of generative AI applications, with emphasis on model evaluation, retrieval-augmented generation, and prompt engineering.
  • Implement end-to-end RAG pipelines, including ingestion, chunking, embeddings, retrieval, re-ranking, and integration with internal data sources.
  • Design and integrate data storage for AI applications using vector search in Snowflake and relational databases such as PostgreSQL.
  • Analyze and integrate data from multiple sources, ensuring high data quality and preparing it for AI-driven solutions.
  • Experiment with LLM models such as OpenAI, Anthropic, and Azure OpenAI to improve performance, reliability, and applicability across business use cases.
  • Establish and maintain engineering best practices for GenAI applications, including testing, observability, security, and performance optimization.
  • Collaborate with the AI platform team to enhance, standardize, and scale AI-driven capabilities across the BMW Group.
  • Work with different business units to help them apply AI models to real-world problems and continuous improvements.
  • Share expertise in Generative AI, LLM orchestration, and software engineering to support knowledge sharing and innovation across teams.

Requirements

  • University degree in Computer Science, Engineering, or a related field.
  • At least 7 years of professional software engineering experience, with a strong focus on backend or data-intensive applications.
  • Strong proficiency in Python and experience building production systems.
  • Strong understanding of software development best practices, including clean code, unit and integration testing, code reviews, and CI/CD.
  • Hands-on experience with LLM APIs such as OpenAI, Anthropic, and Azure OpenAI, and orchestration frameworks such as LangGraph.
  • Proven experience with RAG architectures and vector databases / embeddings.
  • Experience with data ingestion and preprocessing for LLM applications, including ETL, data pipelines, and document processing.
  • Experience implementing guardrails, safety checks, and evaluation frameworks for LLM applications.
  • Familiarity with MLOps or LLMOps concepts and best practices for deploying, monitoring, and maintaining AI services in production.
  • Strong problem-solving skills and the ability to work in a collaborative, agile environment.
  • Excellent written and spoken English communication skills.

Benefits

  • Premium medical package.
  • Lunch Tickets and Pluxee Card.
  • Bookster subscription.
  • 13th salary and yearly bonuses.
  • Flexible working program with openness to remote work.
  • Supportive culture with ownership, autonomy, healthy work-life balance, team events, and activities.
  • Access to leading learning platforms, courses, and certifications including Pluralsight, Udemy, Microsoft, and Google Cloud.
  • Mentorship programs, professional development opportunities, and above-market salary.

Interested in this position?

Apply directly on the company website

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