Senior AI Platform Backend Engineer (LLM)
EPAM Systems, Inc.
Posted: December 23, 2025
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Required Skills
Job Description
We are seeking a talented and proactive Senior AI Platform Backend Engineer (LLM) to lead the design, optimization and deployment of machine learning pipelines using MLOps in cloud environments. In this role, you will implement LLM-based solutions for chatbots and Retrieval-Augmented Generation (RAG) systems and develop robust DevOps/MLOps pipelines for production.
Responsibilities
Maintain and enhance CI/CD pipelines using tools such as GitHub Actions, AWS CodePipeline, Jenkins or ArgoCD
Design and develop backend architecture for AI Verification and ChatGPT services utilizing Python and FastAPI
Build, optimize and scale classifiers and tools leveraging machine learning, encoders and rule-based models
Architect and implement solutions following Domain-Driven Design (DDD) and Test-Driven Development (TDD) best practices
Design, develop, and maintain a production-grade LLM-as-a-judge service for verifying AI-generated content from source documents, leveraging frameworks such as HuggingFace Transformers, SpaCy, NLTK, and BM25
Build and maintain high-throughput Retrieval-Augmented Generation (RAG) services, including ingestion pipelines and message brokers
Perform prompt engineering, including techniques such as Chain-of-Thought and Few-Shot Learning, across various LLMs (OpenAI, Anthropic, Google, etc.)
Provide hands-on expertise and support for one or more leading AI frameworks (TensorFlow, Keras, PyTorch, BERT, etc.)
Demonstrate technical leadership in at least one AI specialization, such as graph recommendation systems, deep learning or natural language processing
Requirements
Strong proficiency in Python and experience developing backend services with FastAPI
Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, AWS CodePipeline, Jenkins or ArgoCD
Hands-on experience designing and optimizing scalable machine learning models, including classifiers, encoders and rule-based systems
Experience working with large language models (LLMs) and frameworks such as HuggingFace Transformers, Spacy, NLTK and BM25
Proven ability to design, develop and maintain high-load Retrieval-Augmented Generation (RAG) services, including ingestion pipelines and message brokers
We offer
Private health insurance
EPAM Employees Stock Purchase Plan
100% paid sick leave
Referral Program
Professional certification
Language courses
EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.
Why Join EPAM
WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.