EPAM is a leading global 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 seeking an experienced Senior Data Scientist to join our team.

This role focuses on the design, optimization, and evaluation of prompts for solutions based on generative artificial intelligence, language models, and conversational agents. The main objective is to improve the quality, accuracy, consistency, and efficiency of AI-generated responses, aligning them with business needs, specific use cases, and best practices in security, ethics, and governance.

Responsibilities Design, test, and optimize prompts for language models such as GPT, Claude, Gemini, or other LLMs

Translate business requirements into effective instructions for generative AI models

Create reusable prompt templates for operational, analytical, and automation use cases

Evaluate the quality of AI-generated responses by identifying errors, bias, inconsistencies, or hallucinations

Apply prompt engineering techniques such as few-shot prompting, structured chain-of-thought, role prompting, context management, and prompt chaining

Collaborate with Data, AI, Product, Operations, and Technology teams to integrate prompts into enterprise solutions

Support the design of workflows involving RAG, AI agents, virtual assistants, and process automation





Document guidelines, best practices, and standards for prompt usage within the organization

Optimize prompts by balancing accuracy, cost, latency, security, and user experience

Promote the responsible, ethical, and safe use of generative artificial intelligence Requirements At least 3 years of relevant professional experience

Solid knowledge of large language models (LLMs) and their practical applications

Hands-on experience with tools such as ChatGPT, Claude, Gemini, Copilot, or open-source models

Advanced prompt engineering techniques for designing effective and reliable prompts

Experience with context window management, structured outputs, embeddings, and Retrieval-Augmented Generation (RAG)

Basic to intermediate Python knowledge for scripting, automation, and integration tasks

Familiarity with AI model APIs for embedding generative AI capabilities into applications

Working knowledge of JSON, Markdown, and data structures for handling structured inputs and outputs

Ability to evaluate AI-generated responses based on quality, accuracy, and consistency criteria

Desirable experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks for building LLM-based applications

Desirable knowledge of NLP, machine learning, or process automation to enhance AI solutions

Analytical and structured thinking to design robust prompt strategies





Excellent writing and communication skills for crafting clear instructions and documentation

Ability to understand business processes and translate them into clear and actionable instructions

Strong attention to detail when refining prompts and reviewing AI outputs

Technical curiosity and an experimentation mindset to explore new AI capabilities

Strong collaboration skills for working with technical and functional teams

Sound judgment to identify AI risks, biases, and limitations

Fluent English skills, both written and spoken, at a B2+ level or higher Nice to have Experience in roles related to generative AI, data analysis, automation, NLP, digital product, or technology consulting

Hands-on experience designing prompts for enterprise use cases in real-world business scenarios

Knowledge of agile methodologies for collaborative and iterative delivery

Experience documenting standards, usage guidelines, or prompt libraries to support organizational adoption We offer International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

General career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

📌 Senior Data Scientist (México)
🏢 Epam Systems
📍 México