AI Engineer – Automotive

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Qualysoft

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1999

☁️ SaaS

Software & Technology • SaaS • Consulting

Qualysoft is an independent IT consultancy based in Vienna, founded in 1999. It specializes in delivering innovative technology solutions focused on business applications, CRM consultancy, ERP consultancy, marketing automation, and software engineering. With over 25 years of experience, Qualysoft utilizes advanced technologies such as AI and data analytics to help organizations streamline operations and enhance customer experience across various industries, including banking, manufacturing, and telecommunications.

📋 Description

• Drive the architecture, development and optimization of (generative) AI applications with a strong focus on model evaluation, retrieval-augmented generation (RAG), and prompt engineering. • Implement end-to-end RAG pipelines (ingestion, chunking, embeddings, retrieval, re-ranking) and integrate them 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 various sources, ensuring high data quality and preparing it for effective AIdriven solutions. • Experiment with LLM models (e.g. OpenAI, Anthropic, Azure OpenAI) to improve performance, reliability and applicability across business use cases. • Establish and maintain robust engineering practices for GenAI applications (testing, observability, security, performance optimization). • Collaborate closely with our AI platform team to enhance, standardize and scale AI-driven capabilities across the BMW Group. • Work closely with different business units, helping them leverage AI models for real-world applications and continuous improvements. • Share your expertise in Generative AI, LLM orchestration, and software engineering with other teams, contributing to knowledge-sharing and innovation within the organization.

🎯 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 dataintensive applications. • Strong proficiency in Python and experience building production systems. • Strong understanding of software development best practices (clean code, unit/integration testing, code reviews, CI/CD). • Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI) and LLM orchestration frameworks such as LangGraph. • Proven experience with RAG architectures and vector databases / embeddings. • Experience with data ingestion and preprocessing for LLM applications (ETL, data pipelines, 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 models and AI-enabled services in production. • Strong problem-solving skills and the ability to work in a collaborative, agile environment. • Excellent English communication skills, both written and spoken.

🏖️ Benefits

• Premium medical package • Lunch Tickets & Pluxee Card • Bookster subscription • 13th salary/yearly bonuses • Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational • A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities • Flexible working program and openness to remote work • Collaborative mindset – employees shape their own benefits, tools, team events and internal practices • Diverse opportunities in Software Development with international exposure • Flexibility to choose projects aligned with your career path and technical goals • Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud) • Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary