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Senior AI Engineer (Python)

Role overview

Qualifications

  • 3+ years of production software development experience with Python
  • 2+ years of experience building LLM integrations, AI agents, or data-intensive backend services
  • Strong project execution skills in small, self-managed engineering teams
  • Upper-Intermediate English skills (B2, Upper-Intermediate)

Responsibilities

  • Design production-grade AI agents and supporting tool APIs for analytical reasoning and automated recommendations
  • Build and maintain agent tools, system prompts, and structured JSON output parsing for reliable downstream use
  • Implement read-only MCP server capabilities that provide safe access to enterprise datasets
  • Develop asynchronous task handlers that trigger low-risk actions or generate tickets via an action gateway

Key facts

Hard skills

Other skills

  • 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 Engineer to design and deliver production-grade AI agents, data integration pipelines, and tool APIs in a cloud-native Python environment. You will focus on agent-tool development, safe data access patterns, and observability while partnering with cross-functional stakeholders. Responsibilities Design production-grade AI agents and supporting tool APIs for analytical reasoning and automated recommendations Build and maintain agent tools, system prompts, and structured JSON output parsing for reliable downstream use Implement read-only MCP server capabilities that provide safe access to enterprise datasets Develop asynchronous task handlers that trigger low-risk actions or generate tickets via an action gateway Write and optimize SQL queries against normalized cost datasets while adhering to partitioning and clustering standards Implement observability standards including health probes, structured JSON logging, and trace propagation Collaborate through peer reviews and co-located unit and integration tests to keep quality high Requirements 3+ years of production software development experience with Python 2+ years of experience building LLM integrations, AI agents, or data-intensive backend services Senior-level autonomy and ownership across design, implementation, and delivery Strong project execution skills in small, self-managed engineering teams Expert Python skills with AsyncIO and modern backend patterns Strong SQL skills for analytics and backend data integration Proven REST API design skills including RFC 7807 error handling conventions Hands-on Docker skills for building and running containerized services Working knowledge of Model Context Protocol (MCP) and tool-calling integrations Timezone flexibility skills to align working hours through 1 PM CT Strong communication skills for collaborating with engineers and product partners Upper-Intermediate English skills (B2, Upper-Intermediate) Nice to have Google Cloud BigQuery Google Vertex AI LangChain LangGraph Terraform

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