EPAM is a leading general provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a skilled Data Scientist to join our team. This position centers on the creation, refinement, and assessment of prompts for solutions powered by generative artificial intelligence, language models, and conversational agents. The core aim is to elevate the quality, precision, consistency, and efficiency of AI-generated outputs, aligning them with business demands, targeted use cases, and best practices in security, ethics, and governance.

Responsibilities

Craft, test,



and refine prompts for language models such as GPT, Claude, Gemini, or other LLMs
Convert business requirements into effective instructions tailored for generative AI models
Build reusable prompt templates suited for operational, analytical, and automation scenarios
Assess the quality of AI-generated outputs, spotting errors, bias, inconsistencies, or hallucinations
Apply prompt engineering methods such as few-shot prompting, structured chain-of-thought, role prompting, context management, and prompt chaining
Work with Data, AI, Product, Operations, and Technology teams to embed prompts into enterprise solutions
Contribute to the design of workflows that involve RAG, AI agents, virtual assistants, and process automation
Record guidelines, best practices, and standards for prompt usage across the organization
Fine-tune prompts by weighing accuracy, cost, latency, security, and user experience
Champion

📌 Data Scientist (México)
🏢 Epam Systems
📍 México