Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be +)
Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be +)
Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions
Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes

Requirements

Strong proficiency in Python, experience with web frameworks like FastAPI or similar
Understanding of the AI application development lifecycle
Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks
Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)
Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability
Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
Proven experience in AI engineering and delivering ML-based solutions
Strong problem-solving skills and attention to detail
Excellent communication, collaboration, and interpersonal skills

Nice to have

Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback
Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
Familiarity with emerging protocols such as MCP, A2A, ACP, etc.
Experience deploying to cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
Experience with enterprise AI platforms such as AWS AgentCore or Databricks AgentBricks or Google Agents Space, or Azure AI Foundry
Experience with observability and monitoring tools and frameworks

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