GenAI Engineer

Experian Group; Roma; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A global data and technology company is seeking an experienced AI/ML Engineer to design and implement GenAI solutions for automation and customer-facing products. The ideal candidate has at least 2 years of experience in generative AI and LLMs, strong proficiency in Python, and excellent collaboration skills. The role offers a dynamic and international work environment focused on innovation and professional development.

Servizi

Access to state-of-the-art GenAI technologies

Continuous learning opportunities

Collaborative culture

Competenze

• 2+ years of proven experience in AI/ML engineering with direct exposure to generative AI and LLMs.
• Excellent communication skills for collaboration across technical and non-technical stakeholders.

Mansioni

• Design and implement GenAI solutions for internal automation and customer-facing products.
• Engineer, test, and optimize prompts for LLMs to maximize accuracy and efficiency.
• Collaborate with internal teams to identify automation opportunities.

Conoscenze

Python proficiency

ML frameworks (PyTorch, TensorFlow)

Prompt engineering

Fine-tuning LLMs

NLP techniques

Collaboration skills

Formazione

Degree in Computer Science, Data Science, Engineering, or related fields

Strumenti

Zapier

REST APIs

Power BI

Tableau

Descrizione del lavoro

Key Responsibilities

• Design and implement GenAI solutions for internal automation (e.g., reporting, invoicing) and customer-facing products.
• Engineer, test, and optimize prompts for LLMs (e.g., GPT, Claude, Gemini, Mistral, LLaMA) to maximize accuracy, reliability, and efficiency.
• Fine‑tune and customize LLMs for business‑specific applications.
• Build retrieval‑augmented generation (RAG) pipelines and agentic AI applications (e.g., GraphRAG, LangChain).
• Prototype, deploy, and scale production‑ready models integrated into Experian platforms and workflows.
• Collaborate with internal teams (Finance, Sales, Pre‑sales, Analytics, Product and Proposition) to identify automation opportunities and improve productivity.
• Evaluate open‑source and commercial LLMs for performance, scalability, and suitability to business needs.
• Document best practices and contribute to internal GenAI knowledge sharing.
• Support training initiatives to upskill internal teams on GenAI tools and capabilities.

Experience and Skills

(2+ years) Proven experience in AI/ML engineering with direct exposure to generative AI and LLMs.

Core Skills

• Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Hands‑on experience with prompt engineering, fine‑tuning, embeddings, and vector databases.
• Familiarity with automation platforms (Zapier, Make, Power Automate) and REST APIs.
• Strong understanding of ML fundamentals, NLP techniques, and LLM architectures.
• Excellent communication and collaboration skills across technical and non‑technical stakeholders.
• Degree in Computer Science, Data Science, Engineering, or related fields.

Preferred Skills

• Experience in Finance or Operations domains.
• Knowledge of BI tools (Power BI, Tableau).
• Familiarity with LangChain, LlamaIndex, or other orchestration frameworks.
• Exposure to cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
• Hands‑on experience with open‑source LLMs (LLaMA, Mistral, Falcon).
• Interest in AI governance, explainability, and ethics.

Soft Skills

• Curiosity & Continuous Learning – Passion for exploring new GenAI capabilities and staying up to date with emerging tools and techniques.
• Problem Solving – Ability to approach complex business challenges with creativity and analytical thinking.
• Communication – Clear and effective communication skills, both written and verbal, to collaborate with technical and non‑technical stakeholders.
• Collaboration – Strong team player with a proactive attitude and the ability to work cross‑functionally across departments.
• Adaptability – Comfortable working in a fast‑paced, evolving environment and adjusting priorities as needed.
• Ownership & Accountability – Takes initiative and responsibility for delivering high‑quality results with minimal supervision.
• Empathy & User‑Centric Thinking – Understands internal and external user needs to design AI solutions that are intuitive and impactful.

What We Offer

• A dynamic and international work environment.
• Access to state‑of‑the‑art GenAI technologies and platforms.
• Continuous learning and professional development opportunities.
• A collaborative culture focused on innovation and impact.

About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Additional Information

Experian is proud to be an Equal Opportunity and affirmative action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experience and “What We Offer” above may serve as required consideration for the role and its affiliates.