
Senior AI Engineer/ 3 days ago
EPAM Systems
Attractive
Application ends: 2026-03-29
Quick Summary
EPAM Systems seeks a Senior AI Engineer (Remote, Mexico) with 3+ years in AI/ML engineering, including production system deployment, to create and deliver robust AI systems for business use cases. The role involves solving product needs using LLMs, RAG, and multimodal learning, and independently designing complex components while coordinating with engineering and stakeholders. 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 developing an advanced AI platform and seeking a Senior AI Engineer to create and deliver robust AI systems that support a broad set of business use cases. This role involves solving specific product needs using technologies like LLMs, RAG, and multimodal learning, designing complex components independently while coordinating closely with Engineering leads and stakeholders.
Responsibilities
- Create and own scalable AI systems and components that address multiple product use cases and business applications.
- Assemble, test, and integrate AI solutions such as LLMs (open and closed source), RAG pipelines, MCP servers, agents, or prompt orchestration layers.
- Engage with product team members and stakeholders to define technical requirements and agree on implementation plans.
- Work with multiple Engineering teams to deliver end-to-end integrations and verify the quality and effectiveness of deployed systems.
- Provide rapid AI solutions to cover urgent product and operational needs.
- Support the ongoing development and evolution of our AI platform.
- Refine AI solutions to improve performance, cost-efficiency, and maintainability at scale.
- Keep up to date with new trends in AI and Machine Learning (ML).
- Investigate 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, plus in-memory data storage technologies for high-performance applications.
- Experience working with LLM ecosystems and modern Generative AI (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 (not strictly 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.

