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Senior AI Engineer

Role overview

Qualifications

  • Proficiency in Python programming with experience in web frameworks such as FastAPI or similar
  • Background in AI application development lifecycle
  • Skills in rapid UI prototyping tools like Streamlit or Gradio
  • Familiarity with major large language model platforms and APIs including OpenAI, Anthropic, Amazon Bedrock, and Gemini

Responsibilities

  • Design complete AI applications including chatbots, Q&A platforms, and agent workflows
  • Capture client requirements and propose solutions using large language models
  • Build data pipelines, prompt strategies, and datasets to support AI model training and deployment
  • Assess AI system performance focusing on accuracy, security, scalability, and compliance

Key facts

  • Remote from: Ukraine, Europe, EMEA
  • Full time
  • Senior (5-10 years)
  • AI Engineer
  • English

Hard skills

Other skills

  • Problem Solving
  • Detail Oriented
  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

Join our team as a Senior AI Engineer , where you will create and support AI-powered applications such as chatbots and Q&A platforms. Work closely with clients to deliver scalable and secure AI solutions using the latest large language model technologies. If you are passionate about advancing AI applications and enjoy collaborating with clients, we invite you to apply. Responsibilities Design complete AI applications including chatbots, Q&A platforms, and agent workflows Capture client requirements and propose solutions using large language models Build data pipelines, prompt strategies, and datasets to support AI model training and deployment Assess AI system performance focusing on accuracy, security, scalability, and compliance Research AI concepts to validate feasibility and demonstrate value Stay up to date with large language models, frameworks, and AI methodologies Evaluate generative AI outputs using relevant metrics and LLM-based evaluation techniques Requirements Proficiency in Python programming with experience in web frameworks such as FastAPI or similar Background in AI application development lifecycle Skills in rapid UI prototyping tools like Streamlit or Gradio Familiarity with major large language model platforms and APIs including OpenAI, Anthropic, Amazon Bedrock, and Gemini Understanding of advanced AI integration patterns such as retrieval-augmented generation and use of agents Experience deploying AI solutions at scale considering performance, cost, and maintainability Capability to evaluate generative AI quality using retrieval, classification, and LLM-based metrics Expertise in AI engineering and delivering machine learning-based solutions Strong problem-solving abilities with attention to detail English proficiency suitable for effective communication with clients and team members Nice to have Background in designing experiments and conducting A/B tests to refine AI models based on user feedback

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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