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.