AI Engineer
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Before you apply
Salary€31k – €47k
LocationAthens, Greece
Typefull-time
SeniorityEntry
Experience3–4 yrs
Company size10,000+ people
PostedOct 23, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Hands-on experience building LLM applications
Strong software engineering foundations, including testing, version control and CI/CD
Ability to understand complex, document-heavy workflows and translate them into reliable, well-tested AI solutions
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 programming with strong software engineering practice (Git, CI/CD, unit, integration and end-to-end testing, e.g. pytest), including building and consuming REST APIs (e.g. FastAPI), with the ability to provide evidence of this applied in a business or academic setting
Hands-on experience building LLM applications: RAG (embeddings, vector stores, chunking, hybrid search) Tool calling and agent workflows Using LLM APIs (e.g. Azure OpenAI, Anthropic, AWS Bedrock)
Experience in natural language processing and information extraction from unstructured documents (e.g. entity extraction, text classification) beyond LLM prompting
Working with relational databases and SQL (e.g. PostgreSQL), including data modelling and query optimization
Experience with workflow automation (e.g. Python scripting, scheduled jobs, Power Automate)
Hands-on use of agentic AI tools for development and day-to-day work (e.g. GitHub Copilot, Cursor, Claude Code, Claude Cowork)
Exposure to Agile delivery (sprints, Jira) with merge-request-based code review
Fluent English and strong technical writing and documentation skills
Excellent communication skills and ability to convey technical topics to business stakeholders and subject-matter experts
Excellent analytical and problem-solving skills, strong attention to detail and the ability to learn new tools and domains quickly
Good team-based interpersonal skills but also an ability to work independently, take ownership of deliverables and manage time effectively
Master's degree in Artificial Intelligence, Machine Learning or Data Science
Experience in a regulated industry (e.g. pharma, healthcare, finance), including handling confidential data, responsible AI practice and compliance requirements such as GDPR
Computer vision for documents (OCR, layout and table detection, extracting data from figures)
Experience with agent orchestration frameworks (e.g. LangGraph) and Model Context Protocol (MCP) servers
LLM evaluation, monitoring and cost tracking (e.g. LangSmith, Langfuse)
R
Shiny (R or Python)
UI/UX design for internal tools and applications
Docker and Linux
Exposure to evidence synthesis or health economics and outcomes research (HEOR), such as systematic literature reviews or indirect treatment comparisons
Skills
Python
Git
CI/CD
pytest
REST APIs
FastAPI
RAG
embeddings
vector stores
chunking
hybrid search
tool calling
agent workflows
LLM APIs
Azure OpenAI
Anthropic
AWS Bedrock
natural language processing
information extraction
entity extraction
text classification
SQL
PostgreSQL
data modelling
query optimization
workflow automation
Python scripting
Power Automate
GitHub Copilot
Cursor
Claude Code
Claude Cowork
Jira
merge-request-based code review
LangGraph
Model Context Protocol
MCP servers
LangSmith
Langfuse
R
Shiny
UI/UX design
Docker
Linux
OCR
layout detection
table detection
data extraction from figures
Overview of the Role
Our team is growing and seeking a motivated, early-career Associate AI Engineer to help build the AI solutions that support our Health Economics and HTA Team.
Working under the guidance of senior engineers, the Associate AI Engineer will contribute to turning validated prototypes into production-grade AI tools, support the development of new prototypes with delivery teams, and help maintain the AI tools already in use.
The role offers hands-on experience across the full lifecycle of AI solutions, from retrieval and data extraction to drafting and quality control, applied to deliverables such as systematic literature reviews and evidence synthesis reports.
The Associate AI Engineer will work in an Agile team across geographies and functions and will build knowledge of the health economics and HTA domain on the job.
Required Knowledge
Hands-on experience building LLM applications and strong software engineering foundations, including testing, version control and CI/CD, are essential.
The role requires the ability to understand complex, document-heavy workflows and translate them into reliable, well-tested AI solutions.
Exposure to the healthcare sector or the pharmaceutical market is desirable.
Responsibilities
Production Solutions
•
Rebuild validated prototypes as production agents on our enterprise AI development platform.
•
Build reusable pipeline modules (retrieval, screening, data extraction, drafting and quality control) that can be combined into deliverable-specific agents.
•
Write tests and evaluation harnesses and follow enterprise engineering standards.
Prototyping
•
Build and refine AI workflows together with delivery teams.
•
Run pilots on live projects and measure the time saved.
Support
•
Handle routine runs and change requests for AI tools already in use.
•
Package applications for deployment.
Ways of Working
•
Work in Agile sprints, managing the backlog and tickets in Jira.
•
Raise merge requests for all changes and act on review feedback before anything ships.
Qualifications, Experience, Technical and Personal Skills
Essential Qualifications
•
Bachelor’s degree in Computer Science, Computer Engineering, Electrical and Computer Engineering, Software Engineering, Informatics, Information Technology or Data Science.
•
Master’s degree in Artificial Intelligence, Machine Learning or Data Science is preferred.
Essential Skills, Knowledge and Personal Behaviors
•
3-4 years of industry experience, including 2-3 years in AI/ML-related roles.
•
Advanced Python programming with strong software engineering practice (Git, CI/CD, unit, integration and end-to-end testing, e.g. pytest), including building and consuming REST APIs (e.g. FastAPI), with the ability to provide evidence of this applied in a business or academic setting.
•
Hands-on experience building LLM applications: RAG (embeddings, vector stores, chunking, hybrid search) Tool calling and agent workflows Using LLM APIs (e.g. Azure OpenAI, Anthropic, AWS Bedrock)
•
Experience in natural language processing and information extraction from unstructured documents (e.g. entity extraction, text classification) beyond LLM prompting.
•
Working with relational databases and SQL (e.g. PostgreSQL), including data modelling and query optimization.
•
Experience with workflow automation (e.g. Python scripting, scheduled jobs, Power Automate).
•
Hands-on use of agentic AI tools for development and day-to-day work (e.g. GitHub Copilot, Cursor, Claude Code, Claude Cowork).
•
Exposure to Agile delivery (sprints, Jira) with merge-request-based code review.
•
Fluent English and strong technical writing and documentation skills.
•
Excellent communication skills and ability to convey technical topics to business stakeholders and subject-matter experts.
•
Excellent analytical and problem-solving skills, strong attention to detail and the ability to learn new tools and domains quickly.
•
Good team-based interpersonal skills but also an ability to work independently, take ownership of deliverables and manage time effectively.
Desirable Skills and Experience
•
Experience in a regulated industry (e.g. pharma, healthcare, finance), including handling confidential data, responsible AI practice and compliance requirements such as GDPR.
•
Computer vision for documents (OCR, layout and table detection, extracting data from figures).
•
Experience with agent orchestration frameworks (e.g. LangGraph) and Model Context Protocol (MCP) servers.
•
LLM evaluation, monitoring and cost tracking (e.g. LangSmith, Langfuse).
•
R.
•
Shiny (R or Python).
•
UI/UX design for internal tools and applications.
•
Docker and Linux.
•
Exposure to evidence synthesis or health economics and outcomes research (HEOR), such as systematic literature reviews or indirect treatment comparisons.
About the company
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
Legal
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.
The potential base pay range for this role, when annualized, is €31,200.00 - €46,800.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.