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Senior AI/ML Engineer

EPAM Systems

Role overview

Qualifications

  • Background in developing applications with generative AI models
  • Expertise in prompt engineering and RAG architecture
  • Proficiency in Python, with added value for experience in asynchronous applications
  • Knowledge of modern AI/ML frameworks (e.g., LangChain)

Responsibilities

  • Design applications utilizing large language models (LLMs) and generative AI technologies
  • Implement prompt engineering strategies and Retrieval-Augmented Generation (RAG) architectures
  • Build frameworks to evaluate model performance, safety, and alignment
  • Create interfaces between generative AI models and production systems

Key facts

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

Hard skills

Other skills

  • Problem Solving
  • Teamwork
  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
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.
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Job description

We are seeking a Senior AI/ML Engineer who will be responsible for designing, implementing, and optimizing generative AI solutions for applications. Responsibilities Design applications utilizing large language models (LLMs) and generative AI technologies Implement prompt engineering strategies and Retrieval-Augmented Generation (RAG) architectures Build frameworks to evaluate model performance, safety, and alignment Create interfaces between generative AI models and production systems Develop mechanisms for responsible AI and guardrails for deployment Stay updated on advancements in generative AI research and best practices Requirements Background in developing applications with generative AI models Expertise in prompt engineering and RAG architecture Proficiency in Python, with added value for experience in asynchronous applications Knowledge of modern AI/ML frameworks (e.g., LangChain) Familiarity with vector databases and embedding models Understanding of responsible AI practices and mitigation strategies for hallucinations Competency in working with cloud-based AI services (e.g., OpenAI API, Azure AI) Nice to have Background in developing solutions for specific industries such as life sciences, finance, or insurance Familiarity with LLM tracing, evaluation datasets, and experiment management Understanding of techniques for evaluating RAG systems or other LLM architectures Skills in automated prompt optimization tools (e.g., dspy) Expertise in creating rapid prototypes

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