LLM Engineer

LLM Engineer

Data Science & AI Engineering

Athens, Greece (Home-based)

The Role

We are seeking an LLM Engineer to help develop and deploy next-generation AI solutions that solve complex challenges in healthcare and life sciences. Working with AI scientists, engineers, architects, and domain experts, you will contribute to the development of machine learning models, Large Language Models (LLMs), and emerging agentic AI solutions using IQVIA's proprietary healthcare datasets.

You will support the full AI development lifecycle, from data preparation and model training through evaluation, optimization, deployment, and workflow integration. This role offers the opportunity to work with cutting-edge Generative AI technologies, including open-source LLMs, AI assistants, and agentic workflows, while contributing to innovation initiatives that help transform healthcare through AI.

At IQVIA, we encourage continuous learning and career growth. The scope of the role will evolve based on your skills, interests, and development goals.

Key Responsibilities

LLM Development & Optimization

• Train, fine-tune, evaluate, and optimize LLMs using proprietary healthcare and life sciences datasets.

• Develop data pipelines for dataset curation, preprocessing, and augmentation.

• Improve model performance through fine-tuning approaches, prompt engineering, instruction tuning, and benchmarking.

• Support the development of LLM-powered applications, AI assistants, and agentic workflows.

AI/ML Engineering

• Develop and deploy machine learning and deep learning models.

• Build scalable training and inference pipelines using distributed computing environments.

• Ensure models are robust, reproducible, and production-ready.

• Contribute to agentic AI solutions that combine LLMs, retrieval systems, and external tools.

Data & Platform Integration

• Work with large-scale healthcare datasets to build domain-aware AI models.

• Integrate AI models into IQVIA platforms and business workflows.

• Collaborate with data engineering teams to support scalable data infrastructure.

Innovation & Collaboration

• Apply AI and LLM best practices within regulated environments.

• Evaluate and adopt emerging GenAI, agentic AI, and healthcare AI technologies.

• Contribute to research, experimentation, and continuous improvement initiatives.

Required Qualifications

• Strong Python programming skills and experience with machine learning frameworks (PyTorch preferred).

• Hands-on experience training, fine-tuning, evaluating, or building applications with LLMs.

• Knowledge of transformer-based architectures and frameworks such as Hugging Face.

• Experience with large datasets, cloud platforms (AWS, Azure, or equivalent), and distributed training concepts.

• Strong understanding of algorithms, data structures, performance optimization, and backend software development.

• Experience with testing, code reviews, CI/CD, and software engineering best practices.

• Familiarity with agentic AI concepts, including AI agents, tool use, workflow orchestration, and function calling.

• Expertise in deep learning, NLP, model evaluation, benchmarking, and data preparation for ML and LLM use cases.

Preferred Qualifications

• Experience fine-tuning or customizing open-source LLMs such as Qwen, Llama, or Mistral.

• Familiarity with RAG architectures, vector databases, and embedding models.

• Experience with healthcare or life sciences data and regulated environments.

• Knowledge of RLHF, model alignment, and AI safety techniques.

• Exposure to AI assistants, agentic AI systems, and multi-step reasoning workflows.

• Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, or similar.

• Experience building LLM applications that incorporate retrieval, tool integration, and workflow orchestration.

• Familiarity with LLMOps tools such as MLflow, Weights & Biases, or similar.

Why Join?

Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.

You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.

Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.

It's an exciting time to join and reimagine what's possible in healthcare.

IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.