2 days ago
Athens, GreeceMid Level
Responsibilities
- Rebuild validated prototypes as production agents on the enterprise AI development platform.
- Develop reusable pipeline modules for retrieval, screening, data extraction, drafting, and quality control.
- Build and refine AI workflows with delivery teams, run live-project pilots, and measure time savings.
- Write tests and evaluation harnesses while following enterprise engineering standards.
- Handle routine runs and change requests for deployed AI tools and package applications for deployment.
- Manage Jira backlog items and tickets, submit merge requests, and respond to code-review feedback.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical and Computer Engineering, Software Engineering, Informatics, Information Technology, or Data Science.
- 3–4 years of industry experience, including 2–3 years in AI/ML-related roles.
- Advanced Python and strong software engineering practices, including Git, CI/CD, unit testing, integration testing, end-to-end testing, REST APIs, and FastAPI.
- Hands-on experience building LLM applications using RAG, embeddings, vector stores, chunking, hybrid search, tool calling, agent workflows, and LLM APIs such as Azure OpenAI, Anthropic, or AWS Bedrock.
- Experience with NLP and information extraction from unstructured documents, relational databases and SQL such as PostgreSQL, data modelling, query optimization, and workflow automation.
- Experience using agentic AI development tools such as GitHub Copilot, Cursor, Claude Code, or Claude Cowork.
- Exposure to Agile delivery, sprints, Jira, merge-request-based code review, technical writing, documentation, and communication with business stakeholders.
- Preferred qualifications include a master’s degree in Artificial Intelligence, Machine Learning, or Data Science; regulated-industry experience; GDPR and responsible AI knowledge; document computer vision; LangGraph; MCP servers; LLM evaluation and monitoring; R; Shiny; UI/UX design; Docker; Linux; and HEOR or evidence-synthesis experience.
- Fluent English, strong analytical and problem-solving skills, attention to detail, teamwork, independent ownership, and effective time management.
Benefits
- The role provides hands-on experience across the full lifecycle of AI solutions and domain knowledge in health economics and HTA.
- Work is conducted in an Agile team across geographies and functions.
Categories
About IQVIA
IQVIA provides clinical research services, healthcare data analytics, and technology platforms to pharmaceutical, biotech, medical device, and healthcare organizations. It sells contracted R&D and commercialization services, software, and data subscriptions that help run trials, generate real-world evidence, and guide go-to-market decisions. Formed by the merger of Quintiles and IMS Health, the company is headquartered in Durham, North Carolina and is publicly traded on the NYSE (ticker: IQV).