About the role
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.
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.
• 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.
Tech stack
Python
Level mid
Arrangement Remote
Location RO
Posted 3d ago
.*
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