aimlroles

Generative AI Engineer - Finance Data & AI Analytics

Egup Open · verified Oct 22, 2026
Cluj Napoca Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Egup. Cluj Napoca.

Pay not stated AI Engineering salary

RoleAI Engineering
SeniorityMid-level
LocationCluj Napoca
PostedOct 1, 2026 · 3w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build AI applications that retrieve, interpret and present financial statistics from internal data sources and data pages
  • Create agents for routine finance tasks and more open-ended finance workflows, connecting LLMs to applications and datasets
  • Set up orchestration, retrieval and prompt workflows, with safeguards for accuracy, privacy, access and predictable behavior
  • Test prompts and agent outputs, track quality, and refine the systems based on evaluation results
  • Develop web interfaces and services, document their design and operating procedures, and work with Finance and Data/BI teams

What you bring

  • A bachelor's degree in a listed technical, analytics or finance discipline, or a related field
  • At least three years in software engineering, AI/ML, data analytics engineering or a closely related area
  • Practical experience building LLM applications or agents and connecting them with applications, APIs or data sources
  • Experience with orchestration frameworks such as LangChain or equivalent, plus Python and web technologies including HTML
  • You can build modular, testable components and apply evaluation, safeguards and quality monitoring to AI applications

Who this fits

This mid-level role suits an engineer who can combine hands-on LLM development with financial data and web application work. You’ll collaborate with Finance and Data/BI stakeholders and contribute to use cases such as forecasting, anomaly detection and decision support. The position is based in Cluj-Napoca, Romania.

From the employer

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