Develop and optimize backend services for AI and LLM applications
Integrate, scale, and manage LLM-based applications in cloud environments
Implement and manage CI/CD pipelines for streamlined deployment
Monitor and continuously optimize the performance of AI services
Ensure effective observability and logging for tracking LLM API performance
Collaborate with DevOps and Data Science teams to improve workflow efficiency and system reliability
Design and maintain backend architecture for scalable, LLM-powered APIs
Facilitate deployment and scaling of AI solutions in cloud platforms, with a preference for Azure
Build APIs and microservices to support AI-driven functionalities

Requirements

2+ years of experience in AI Engineering, specializing in backend development
Strong proficiency in Python backend engineering, especially with FastAPI
Expertise in integrating LLM APIs (e.g., OpenAI) into production workflows
Proficiency in prompt engineering, agentic workflows, and orchestration approaches
Capability to address LLM operational challenges such as latency, cost control, retries, and fallback mechanisms
Knowledge of backend architecture for scalable LLM integrated APIs with high-performance requirements
Working knowledge of databases, including SQL/NoSQL, Redis, and streaming platforms such as Kafka
Familiarity with platforms such as Databricks and MCP for enhanced AI workflow management
Strong communication skills in English (minimum B2+ level proficiency)
Flexibility to work in shifted working hours up to 10 pm Kyiv time

Nice to have

Showcase of hands-on experience in building and optimizing agentic workflows
Deep understanding of Model Context Protocol (MCP) and its applications in AI systems

We offer/Benefits

With us you can:

Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
Receive the necessary equipment to perform your work tasks
Change projects and technology stacks within EPAM
Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

You can plan your individual career path together with your manager
Receive regular feedback from colleagues
Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
Study at EPAM Solution Architecture School with the instructors who are practicing architects
Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

Vacation and sick leave (including a sick leave without a medical certificate)
A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
Medical insurance for family members at corporate rates
Company support during significant life events (childbirth or adoption, marriage, etc.)
Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
E-kids program - a free programming language training program for EPAMers' children

AI Engineering & 7 others