Overview
Full Time
Skills
Pivotal
Use Cases
Documentation
Regulatory Compliance
Collaboration
Prompt Engineering
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Python
Orchestration
LangChain
Semantics
Fluency
English
Artificial Intelligence
Machine Learning (ML)
Microsoft Azure
DevOps
API
Agile
Health Insurance
Insurance
Training And Development
Training
Coaching
LinkedIn
Job Details
EPAM is looking for a talented Prompt Engineer to join our team in Nicosia, working with one of our clients in the insurance industry, in a flexible hybrid work setup.
As a Prompt Engineer, you will play a pivotal role in driving the adoption of Generative AI technologies within the organization. This includes designing, developing and optimizing prompts for large language models (LLMs), building AI-powered solutions and scaling the operational use of Generative AI across various business domains. You will collaborate with cross-functional teams to transform bold ideas into actionable and scalable AI products.
RESPONSIBILITIES
REQUIREMENTS
NICE TO HAVE
WE OFFER
As a Prompt Engineer, you will play a pivotal role in driving the adoption of Generative AI technologies within the organization. This includes designing, developing and optimizing prompts for large language models (LLMs), building AI-powered solutions and scaling the operational use of Generative AI across various business domains. You will collaborate with cross-functional teams to transform bold ideas into actionable and scalable AI products.
RESPONSIBILITIES
- Design and implement prompt logic and orchestration flows across GenAI use cases (e.g., chatbot, CMD, DN creation)
- Apply principles of RAG (Retrieval-Augmented Generation) and Agentic AI to production use cases
- Support AI Governance activities, including documentation, validation and Responsible AI compliance
- Collaborate with cross-functional teams to design scalable and efficient GenAI solutions
REQUIREMENTS
- Around 5+ years of experience as a Data Scientist
- Strong experience in prompt engineering and LLM (large language model) orchestration
- Hands-on understanding of RAG (Retrieval-Augmented Generation) architecture and agent-based GenAI systems
- Familiarity with AI governance frameworks, validation techniques and responsible AI principles
- Experience with Python, LLM APIs (OpenAI, Azure OpenAI, etc.) and orchestration tools (e.g., LangChain, Semantic Kernel)
- Fluency in English
NICE TO HAVE
- Experience working with Azure AI services (e.g., Azure Cognitive Search, Azure ML, Azure OpenAI)
- Familiarity with DevOps pipelines and API integration
- Exposure to large-scale enterprise environments and agile delivery
WE OFFER
- Private healthcare insurance
- Global travel medical and accident insurance
- Regular performance assessments
- Referral bonuses
- Family friendly initiatives
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
- *All benefits and perks are subject to certain eligibility requirements
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.