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.

What We Offer

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.