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AI Engineer

Role overview

Qualifications

  • 3+ years of programming experience in Python
  • Familiarity with LangChain and LangGraph frameworks
  • Understanding of AWS cloud platform
  • Background in data science or data engineering methodologies

Responsibilities

  • Support the design of agentic AI systems and multi-agent systems at scale
  • Assist in developing production-grade AI applications
  • Contribute to implementing retrieval-augmented generation (RAG) evaluation methods
  • Help build and maintain vector databases for AI data storage and retrieval

Key facts

  • Remote from: Ukraine, Europe, EMEA
  • Full time
  • Mid-level (2-5 years)
  • AI Engineer
  • English

Hard skills

Other skills

  • Problem Solving
  • Analytical Skills
  • Collaboration
  • 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

We are seeking an AI Engineer to join our software, system and test engineering group. You will assist in designing and developing agentic and multi-agent systems at scale using the LangChain and LangGraph frameworks, with a focus on scalable, production-grade applications. Join us to build your skills in Python, AWS and data science while contributing to advanced AI solutions for our clients. This position is open to candidates based in Ukraine. Responsibilities Support the design of agentic AI systems and multi-agent systems at scale Assist in developing production-grade AI applications with LangChain and LangGraph frameworks Contribute to implementing retrieval-augmented generation (RAG) evaluation methods Help build and maintain vector databases for AI data storage and retrieval Apply data science techniques to improve AI system performance Work with cross-functional teams to integrate AI solutions Contribute to scalable and efficient AI system architectures Help troubleshoot and resolve system issues and bottlenecks Learn about AI and machine learning advancements Document system designs and development processes Participate in code reviews and follow best practices Support optimization of cloud infrastructure with AWS services Assist with deployment and monitoring of AI applications Requirements Interest in designing and developing agentic AI systems and multi-agent systems Programming skills in Python with 3+ years of experience Familiarity with LangChain and graph frameworks such as LangGraph Understanding of the Amazon Web Services (AWS) cloud platform Background in data science or data engineering methodologies Knowledge of algorithms, data structures and machine learning techniques Familiarity with RAG evaluation and vector databases Willingness to contribute to scalable and production-grade AI solutions Problem-solving and analytical skills Experience or coursework in software, system or test engineering environments Collaboration and communication skills B2+ level English proficiency

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Marcus Rivera

Chief Revenue Officer

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