AI Engineer - Automotive

About Qualysoft · 25 years of experience in software engineering, established in Vienna, Austria · Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B) · Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development · We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms · Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech · Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia · International team of 500+ software engineers · Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner · Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation. · Project beneficiaries ranging from large-scale enterprises to startups · Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions · Quality-first mindset, culture of innovation, and long-term client partnerships · Global and local reach – trusted by key industry players in Europe and the US

Responsibilities:

• • 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.

Qualifications:

• • 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.