1 month ago
Cluj-Napoca, RomaniaMid Level
Responsibilities
- Design and develop generative AI applications that retrieve, transform, interpret, and present financial statistics from governed internal data sources and data pages.
- Build AI agents and agentic applications for repetitive, rules-based, and complex Finance use cases.
- Integrate in-house LLMs with applications, data pages, structured datasets, APIs, databases, and supporting services.
- Develop modular, testable AI architectures with reusable services, clear interfaces, orchestration workflows, retrieval, tool use, prompt patterns, and state management.
- Implement guardrails, validation, monitoring, access controls, data-confidentiality controls, and quality processes for AI-enabled applications.
- Create evaluation and A/B testing approaches for prompts, agents, workflows, and user-facing outputs, and improve quality iteratively.
- Develop lightweight web interfaces and services and 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 or agent behavior.
- Contribute to forecasting, anomaly detection, intelligent automation, and decision-support analytics use cases.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Finance, or a related field.
- At least 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, including the LangChain family of tools or equivalent technologies.
- Experience integrating LLMs with applications, APIs, databases, and structured or unstructured data sources.
- Ability to design modular, testable software components and automated evaluation and 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, plus experience deploying applications on-premise or in cloud environments.
- Strong communication, collaboration, analytical, and problem-solving skills.
- Finance or data analytics domain knowledge, particularly financial statistics, FP&A, reporting, forecasting, or business performance analysis, is preferred.
- Working knowledge of SQL and relational databases, with familiarity with Snowflake or similar data platforms, is preferred.
- Experience with Django, Gradio, FastAPI, or similar frameworks for AI-enabled web applications is preferred.
- Experience with prompt engineering, retrieval-augmented generation, structured outputs or function calling, model evaluation, or LLM observability is preferred.
- Experience with BI/reporting ecosystems and governed enterprise data products is preferred.
Benefits
- The position is based in a Finance Data & AI Analytics capability in Cluj-Napoca, Romania.
- The role supports both on-premise and cloud deployment patterns.
- The employer describes a healthy and growing work environment with opportunities to contribute to global and regional Finance capabilities.
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About Vertiv
Vertiv builds power, cooling, and IT infrastructure for data centers, communication networks, and industrial facilities, sold as hardware, software, and services. Its portfolio spans UPS systems, thermal management, racks, prefabricated modules, and monitoring/management software, backed by global field service and commissioning. Headquartered in Columbus, Ohio, Vertiv was formed from Emerson Network Power and became a publicly traded company on the NYSE.