Generative AI Engineer - Finance Data & AI Analytics
Vertiv · Cluj-Napoca
At Vertiv, we’re on a mission to empower the people that will power the future. From a simple swipe to life-changing medicines, from push notifications to generative AI. We design, manufacture, and service the products and solutions that keep the world connected. With $6.9 billion in sales, a strong customer base and global reach spanning nearly 70 countries, we are uniquely positioned to deliver greater value to our customers and create new opportunities for our people.
Building a Finance Data & AI Analytics capability in Cluj-Napoca, Romania. We are seeking a Generative AI Engineer to design, build, test, and operate AI-powered applications that automate the generation and consumption of financial statistics sourced from multiple world regions. The role combines hands-on GenAI engineering with financial data, web application, and analytics capabilities, supporting global and regional Finance stakeholders.
Key Responsibilities
- Design and develop GenAI applications that retrieve, transform, interpret, and present financial statistics from governed internal data sources and data pages.
- Build AI agents for repetitive, rules-based tasks and agentic applications for complex, open-ended Finance use cases.
- Integrate in-house LLMs with applications, data pages, structured datasets, and supporting services.
- Develop modular AI architectures with independently testable components, clear interfaces, reusable services, and maintainable code.
- Implement AI orchestration workflows, tool use, retrieval, prompt patterns, and state management using the LangChain family of tools or equivalent frameworks.
- Design and enforce guardrails for accuracy, safety, access control, data confidentiality, and predictable agent behavior.
- Build evaluation and A/B testing approaches for prompts, agents, workflows, and user-facing outputs; monitor quality and improve iteratively.
- Develop lightweight web interfaces and services using HTML and modern web frameworks; support on-premise and cloud deployment patterns.
- Partner with Finance and Data/BI stakeholders to translate business needs into scalable AI solutions and data products.
- Document technical designs, data flows, test cases, operating procedures, and model/agent behavior.
- Contribute to the broader analytics capability, including forecasting, anomaly detection, intelligent automation, and decision-support use cases.
Qualifications Required
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Finance, or a related field.
- 3+ years of professional experience in software engineering, AI/ML engineering, data analytics engineering, or a closely related discipline.
- Hands-on experience building LLM-powered applications, AI agents, or agentic workflows.
- Practical experience with AI orchestration frameworks and the LangChain family of tools or equivalent technologies.
- Experience integrating LLMs with applications, APIs, databases, or structured/unstructured data sources.
- Ability to design modular, testable software components and establish automated evaluation/testing for AI behavior.
- Experience implementing guardrails, validation, monitoring, and quality controls for AI-enabled applications.
- Working knowledge of Python and web technologies, including HTML; experience deploying applications on-premise or in cloud environments.
- Strong communication and collaboration skills with both technical and non-technical stakeholders.
- Strong analytical and problem-solving skills, with a commitment to data quality and reliable outputs.
Preferred
- Finance or data analytics domain knowledge, especially financial statistics, FP&A, reporting, forecasting, or business performance analysis.
- Working knowledge of SQL and relational databases; familiarity with Snowflake or similar data platforms.
- Experience with Django, Gradio, FastAPI, or similar frameworks for AI-enabled web applications.
- Experience with prompt engineering, RAG, structured outputs/function calling, model evaluation, or LLM observability.
- Experience with BI/reporting ecosystems and governed enterprise data products.
If YOU are the person we are looking for, feel free to apply and let's start drafting your future career in a healthy and growing environment!
The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
- Customer Focus
- Operational Excellence
- High-Performance Culture
- Innovation
- Financial Strength
OUR BEHAVIORS
- Own It
- Act With Urgency
- Foster a Customer-First Mindset
- Think Big and Execute
- Lead by Example
- Drive Continuous Improvement
- Learn and Seek Out Development
#LI-DG1
We are seeking a Generative AI Engineer to design, build, test, and operate AI-powered applications that automate the generation and consumption of financial statistics sourced from multiple world regions. The role combines hands-on GenAI engineering with financial data, web application, and analytics capabilities, supporting global and regional Finance stakeholders.