**Responsibilities**
- Collaborate with product, analytics, and engineering teams to design and deliver shopping assistant chatbot solutions
- Define prompt engineering strategies to improve chatbot conversational depth and user engagement
- Build and deploy LLM-based agents designed for integration with external tools, APIs, and databases via function-calling
- Ensure chatbot response accuracy and reliability using rigorous evaluation and hallucination prevention methods
- Develop data-driven A/B testing strategies in collaboration with analytics teams for optimization
- Perform exploratory data analysis (EDA) to generate insights and support structured data requirements for engineering teams
- Guide cloud engineering teams in the development of scalable infrastructure for AI solutions
**Requirements**:
- 7+ years of experience in AI and ML development, with a focus on conversational agents preferred
- 2+ years of leadership experience in relevant roles
- Expertise in LLMs, with practical experience using OpenAI APIs in Azure environments
- Solid skills in Python for AI workflow design and optimization
- Knowledge of hallucination prevention techniques and Responsible AI best practices
- Background in Natural Language Processing (NLP) and Conversational AI architecture
- Familiarity with A/B testing systems, experimentation methods, and AI performance metrics
- Capability to specify data and testing requirements while working with cross-functional teams
- Understanding of cloud services and infrastructure, with the ability to directly contribute or specify key needs
**Nice to have**
- Background in exploratory data analysis (EDA) to refine chatbot performance
- Proficiency in drafting technical specifications for data engineering tasks
- Familiarity with cloud engineering approaches related to infrastructure design
**Technologies**
- LLMs: OpenAI APIs on Azure
- Languages: Python




- Key Tools & Methods: Function Calling, Prompt Engineering, Hallucination Prevention, Responsible AI & Compliance, A/B Testing, Data Analysis
**We offer**
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- International Mobility Plan within 25 countries
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days plus 4 floating days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Monthly non-taxable amount for the electricity and internet bills
EPAM is a leading integral 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.

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