AI Engineer at qualysoft

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 • Design, build, and deploy machine learning models using Python and frameworks such as PyTorch, ensuring models are robust, scalable, and optimized for performance; • Building and orchestrating AI agent workflows using agentic frameworks such as LangChain, LiveKit, and OpenAIAgentsSDK, including solutions such as enterprise chatbots, internal AI productivity assistants, document intelligence systems, and automated agent workflows; • Designing and validating agent behavior using MCP (Model Context Protocol), Guardrails, and structured Agent Instructions, ensuring safety, consistency, and compliance; • Using AWS Bedrock as the primary LLM service, integrating foundational models and optimizing inference performance within enterprise AI systems, while enabling RAG architectures with modern embedding and retrieval techniques; • Designing and automating high-level AI workflows using tools like n8n, enabling rapid prototyping, integration, and orchestration of multi-step agent or LLM-based automations; • Using OpenWebUI (or similar LLM UI frameworks) to test, iterate, and manage LLM and agent flows in on-prem or hybrid environments; • Using AWS SageMaker to train and deploy ML models efficiently and at scale; • Develop and manage big data processing workflows using Apache Spark on AWS EMR. Optimize data processing tasks to handle large-scale datasets efficiently, enabling fast feature extraction and preprocessing for machine learning models. Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field; • 4+ years of experience in machine learning or AI engineering , including demonstrated experience building and deploying models at scale; • Strong programming expertise in Python; • Proficiency in NLP and LLMs; • Hands-on experience with AWS services (SageMaker, Bedrock, EMR) for end-to-end AI pipelines or other cloud providers equivalent to AWS; • Ability to write clean, maintainable, and efficient production-level code, adhering to best practices in software engineering (e.g., version control, testing, CI/CD); • Strong analytical and problem-solving skills; • Strong communication and collaboration skills; • Good English knowledge (upper intermediate level).     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 are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.*