
Senior AI Engineer/ 2 days ago
EPAM Systems
Attractive
Application ends: 2026-03-29
Quick Summary
EPAM Systems seeks a Senior AI Engineer (Remote, Brazil) with 3+ years in AI/ML engineering, including production system deployment, to engineer and operationalize cutting-edge AI solutions. The role involves leveraging LLMs, RAG, and multimodal learning to design and integrate scalable AI systems, including prompt orchestration and RAG pipelines, while collaborating with product and engineering teams. Essential requirements include strong SQL, in-memory data storage, experience with LLM ecosystems (OpenAI, Anthropic, Hugging Face, LangChain), cloud infrastructure (AWS, GCP, Azure), MLOps, vector databases, inference engines, cross-functional teamwork, and B2+ English for client interactions.
We are seeking a Senior AI Engineer to engineer and operationalize cutting-edge AI solutions for diverse business use cases. You will tackle product-driven challenges using LLMs, RAG, and multimodal learning, contributing to our AI platform by building complex components autonomously while partnering with Engineering leads.
Responsibilities
- Own the design and delivery of scalable AI systems and components for multiple product use cases and business applications.
- Implement, test, and integrate AI solutions, including LLMs (open and closed source), RAG pipelines, MCP servers, agents, and prompt orchestration layers.
- Collaborate with product teams and stakeholders to clarify technical requirements and define implementation plans.
- Partner with Engineering teams for end-to-end solution integration, ensuring deployed systems meet quality and effectiveness goals.
- Execute rapid AI solutions to satisfy urgent product and operational needs.
- Drive improvements in the development and evolution of our AI platform.
- Enhance AI solutions for performance, cost efficiency, scalability, and maintainability.
- Track emerging trends in AI and ML to inform strategic decisions.
- Review and evaluate new AI tools, models, and technologies for potential adoption.
Requirements
- Minimum of 3 years of experience in AI engineering 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, and in-memory data storage technologies for high-performance applications.
- Experience with LLM ecosystems and modern GenAI technologies (e.g., OpenAI, Anthropic, Hugging Face, LangChain).
- Solid understanding of cloud infrastructure (AWS, GCP, Azure) and modern MLOps workflows for scalable AI deployment.
- Experience with vector databases and inference engines for efficient AI model operations.
- Familiarity with frontend frameworks like Angular or React is beneficial for UI team collaboration (not required).
- Excellent problem-solving skills and clear communication of complex technical concepts.
- Proven ability to work effectively in cross-functional teams.
- Strong English communication skills (B2+ or higher) and experience in client-facing interactions with stakeholders.
Nice to have
- Coding experience in server-side languages like GoLang or PHP for backend development.
- Proficiency in JavaScript for scripting and automation tasks.
- Experience with TypeScript for building robust and maintainable web applications.

