
Senior AI Engineer/ 1 day ago
EPAM Systems
Attractive
Application ends: 2026-03-29
Quick Summary
This Senior AI Engineer role focuses on engineering and operationalizing AI solutions for product-driven problems using LLMs, RAG, and multimodal learning, contributing to an AI platform. Candidates need a minimum of 3 years in AI/ML engineering, hands-on experience building and deploying AI/ML systems in production, strong SQL and in-memory data storage skills, and expertise with LLM ecosystems (OpenAI, Anthropic, Hugging Face, LangChain), cloud infrastructure (AWS, GCP, Azure), MLOps, vector databases, and inference engines. Excellent problem-solving, cross-functional teamwork, and B2+ English communication are essential.
We are hiring a Senior AI Engineer to engineer and operationalize AI solutions that address a wide variety of business use cases. You will focus on product-driven problems using LLMs, RAG, and multimodal learning, and you will help grow our AI platform by building complex components with autonomy while partnering with Engineering leads—apply now.
Responsibilities
- Own the design and delivery of scalable AI systems and components that power multiple product use cases and business applications
- Implement, test, and integrate AI solutions such as LLMs (open and closed source), RAG pipelines, MCP servers, agents, or prompt orchestration layers
- Work with product team members and stakeholders to clarify technical requirements and define implementation plans
- Collaborate with multiple Engineering teams to integrate solutions end-to-end and ensure deployed systems meet quality and effectiveness goals
- Execute quick-turn AI solutions to satisfy urgent product and operational needs
- Drive improvements to the development and evolution of our AI platform
- Improve AI solutions for performance, cost efficiency, scalability, and maintainability
- Track emerging trends in AI and ML to inform decisions
- Review and evaluate new tools, models, and technologies for potential adoption
Requirements
- Minimum of 3 years of relevant experience in AI or machine learning engineering roles
- Hands-on experience building and deploying AI/ML systems, ideally in production environments
- Strong experience with SQL for data querying and management, as well as in-memory data storage technologies for high-performance applications
- Experience working with LLM ecosystems and modern GenAI technologies such as OpenAI, Anthropic, Hugging Face, and LangChain
- Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern MLOps workflows for scalable AI deployment
- Experience working with vector databases and inference engines to support efficient AI model operations
- Familiarity with frontend frameworks such as Angular or React is helpful for collaborating with UI teams, though not required
- Excellent problem-solving skills and the ability to communicate complex technical concepts clearly
- Proven ability to work effectively in cross-functional teams
- Good English communication skills (B2+ level or higher) and experience in client-facing communications, including direct interaction with stakeholders
Nice to have
- Coding experience in one or more server-side languages such as GoLang or PHP for backend development and integration
- Proficiency in JavaScript for scripting and automation tasks
- Experience with TypeScript for building robust and maintainable web applications

