Responsibilities

• Develop, test, and troubleshoot Python-based AI software leveraging large language models and state-of-the-art AI frameworks.
• Create and refine prompts, workflows, and evaluation strategies to improve LLM outputs for various applications.
• Construct and maintain RESTful APIs and embed AI capabilities into scalable production environments.
• Investigate and assess new AI tools, frameworks, and techniques to enhance solution offerings.
• Collaborate within an agile, multidisciplinary team to deliver quality results under tight deadlines.
• Monitor and incorporate the latest advances in AI and LLM technologies into projects.
• Contribute to internal and client-facing AI efforts, including chatbots, automation, and intelligent feature development.
• Take full ownership of deliverables, maintaining clear communication and coordination with US-based teams.

Requirements

• Proven experience developing and debugging Python applications with at least 3 years of hands-on work.
• Expert knowledge in prompt engineering and fine-tuning large language model behaviors.
• Comprehensive understanding of large language model architectures and their optimal applications.
• Proficiency using Pydantic for data validation and configuration management.
• Practical familiarity with AI orchestration frameworks like LangChain or CrewAI.
• Experience with AI-assistant tools such as GitHub Copilot, Claude Code, or Gemini CLI.
• Working knowledge of AWS cloud services and related infrastructure components.
• Experience integrating workflow automation platforms including n8n, Make, or Zapier.
• Strong analytical and problem-solving capabilities.
• Excellent communication skills and ability to collaborate effectively.
• Ability to work independently while managing responsibilities efficiently.
• English proficiency at B2 (Upper-Intermediate) level or above.

Nice to have

• Hands-on experience with the Gemini platform.
• Familiarity with CrewAI framework.
• Background in integrating automation solutions.
• Previous collaboration with US-based client teams.
• Knowledge of AI agent creation methodologies.

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.
• Global career opportunities.
• Volunteer and community involvement opportunities.
• EPAM Employee Groups.
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn.