We are seeking a result-driven AI Engineering Manager to spearhead the development of transformative AI solutions and platforms.

This is a leadership role where you will collaborate with cross-functional teams to shape our AI initiatives and deliver impactful solutions by leveraging cutting-edge AI technologies and innovative engineering practices.

 

Responsibilities

• Architect and deploy a robust AI platform with reusable components to accelerate the development of AI-driven solutions
• Drive end-to-end execution for high-impact product use cases while balancing speed, scalability, and reliability
• Partner closely with Product & Engineering teams to shape the organization's AI roadmap and long-term strategy
• Build infrastructure that integrates effectively with both open- and closed-source LLMs, including multimodal models
• Scale and optimize AI systems for performance, cost efficiency, and high availability at an enterprise level
• Stay ahead of AI developments, such as RAG pipelines, AI agents, multimodal systems, and advanced prompt orchestration
• Evaluate emerging AI technologies and determine their applicability to enhance the platform's capabilities
• Provide technical leadership to drive innovation and excellence across multidisciplinary teams

 

Requirements

• Over 10 years of coding experience in server-side languages such as Python, GoLang, or PHP
• A minimum of 3 years of hands-on experience coding in Python
• Proficiency with SQL, alongside in-memory storage and related data storage technologies
• Familiarity with Angular, React, or comparable frontend frameworks
• Proven track record of building and operationalizing AI/ML systems, especially for structured and unstructured data
• Background in developing product solutions using LLMs and generative AI technologies
• Familiarity with building AI pipelines and knowledge of e-commerce taxonomies and schemas is a strong advantage
• Expertise in using modern AI infrastructure like vector databases, inference frameworks, and cloud-native ML solutions, coupled with familiarity with orchestration tools
• Experience leading multidisciplinary teams to achieve both strategic vision and tactical execution
• Skills in working with cloud environments like AWS, GCP, or Azure, API architecture, and deploying modern MLOps practices

 

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