
About this role
The Senior Data AI Engineer will design and develop AI applications such as chatbots, Q&A platforms, and agent workflows. You will work closely with clients to understand their needs and recommend LLM-driven solutions. The technical environment involves working with Python, FastAPI, and major LLM platforms like OpenAI, Anthropic, and Amazon Bedrock. You will also be responsible for managing data pipelines, prompt strategies, and evaluating AI system performance. The role involves rapid prototyping using Streamlit or Gradio and deploying scalable AI solutions.
Skills & technologies
Must have
Nice to have
- A/B testing
- Vector Search
- Embeddings
- Azure OpenAI
- GCP Vertex AI
- vLLM
- AWS AgentCore
- Databricks AgentBricks
- Google Agents Space
- Azure AI Foundry
- Observability
Read full description
You will work closely with clients to build solutions such as chatbots and Q&A platforms that deliver measurable business value. In this role, you will lead AI application development, manage data pipelines, and remain at the forefront of evolving LLM technologies. If you are passionate about AI engineering and enjoy collaborating with clients to address complex challenges, we encourage you to apply.
Kindly note that this role supports remote work, but only from within Ukraine.
Responsibilities
- Design and implement end-to-end AI applications, including chatbots, Q&A platforms and agent workflows
- Collaborate 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 to ensure 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 improve solutions and client outcomes
- Proficiency in Python and experience with web frameworks such as FastAPI or similar
- Understanding of the AI application development lifecycle
- Background in rapid UI prototyping using Streamlit, Gradio or similar frameworks
- Familiarity with major LLM platforms and APIs such as OpenAI, Anthropic, Amazon Bedrock, Gemini and related frameworks like LangGraph, LlamaIndex, Strands Agents
- Knowledge of advanced AI integration patterns such as RAG and Agents
- Experience deploying AI solutions at scale with considerations for performance, cost-efficiency and maintainability
- Competency in evaluating generative AI quality using metrics such as retrieval and classification scores as well as LLM-based evaluation methods
- Background in AI engineering and delivering ML-based solutions
- Strong problem-solving skills and attention to detail
- Excellent communication, collaboration and interpersonal skills
- Background in experiment design, A/B testing and model iteration based on user feedback
- Understanding of retrieval systems such as keyword search, vector search, embeddings and ranking algorithms
- Familiarity with emerging protocols including MCP, A2A and ACP
- Capability to deploy to cloud AI platforms such as Azure OpenAI, Amazon Bedrock, GCP Vertex AI or on-premise solutions like vLLM
- Familiarity with enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, Google Agents Space or Azure AI Foundry
- Skills in observability and monitoring tools and frameworks
- 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
EPAM strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.