Senior Python AI Engineer

EPAM Systems, Inc.

United States

Remote

USD 140,000 - 210,000

Full time

3 days ago
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Benefits offered by this job

Healthcare benefits
Paid time off and sick leave
Learning & development programs
Global career opportunities
Volunteer opportunities

Job summary

EPAM Systems, Inc. is seeking a Senior Python AI Engineer to advance data-driven intelligent applications. You will architect scalable software and drive MCP-integrated, multi-agent solutions with stateful orchestration across tools like LangChain, AWS Bedrock, and Vertex AI.

You will mentor peers, participate in reviews, and stay ahead of AI trends to shape technical direction within a global team.

Qualifications

  • Three-plus years of Python engineering in production AI systems.
  • Experience designing multi-agent architectures and RAG pipelines.
  • Hands-on with MCP integration, prompt engineering, and guardrails.

Responsibilities

  • Architect scalable software systems for intelligent, data-driven apps.
  • Collaborate across teams to define technical requirements and deliverables.
  • Write readable, well-documented code and participate in code reviews.
  • Evaluate new tech trends and influence long-term architectural direction.
  • Mentor teammates and share expertise across the group.

Tools

LangChain
LangGraph
CrewAI
Google ADK
AWS Strands Agents SDK
AWS Bedrock
GCP Vertex AI

Job description

We're currently searching for a Senior Python AI Engineer to become part of our team. This position places you at the leading edge of applying advanced technology toward solving genuine business problems and generating real value for those who use our products. As a member of our team, you'll operate within a cooperative atmosphere that prizes creativity and technical mastery, surrounded by skilled colleagues eager to challenge conventional limits. This presents a fantastic chance for an individual wanting to leave a lasting mark while developing professionally alongside a company focused on the future.ResponsibilitiesArchitect and construct software systems capable of scaling to support intelligent applications driven by dataConvert intricate technical ideas into functional, real-world systems aligned with company objectivesPartner with teams spanning different disciplines to establish technical needs and produce top-tier outcomesProduce readable, sustainable code that adheres to recognized industry conventions, complete with proper documentationIdentify and fix technical challenges throughout every stage of the software development processTake part in peer code evaluations and offer helpful, actionable input to teammatesInvestigate and assess new technological trends to suggest enhancements for current infrastructurePlay a role in shaping architectural choices that influence the future technical trajectory of initiativesGuide less experienced colleagues and distribute technical expertise throughout the wider teamGuarantee that built solutions prioritize scalability, strong performance, and long-term maintainabilityRequirementsThree-plus years of applied experience in Python engineering, supported by a proven history of creating, deploying, and managing dependable AI systems and smart applications within active production settingsSubstantial know-how in designing and executing stateful multi-agent processes, independent agentic systems, and orchestration across multiple agents, utilizing tools like LangChain, LangGraph, CrewAI, Google ADK, and AWS Strands Agents SDKReal-world experience handling Model Context Protocol (MCP) integration workDirect experience developing and sustaining Retrieval-Augmented Generation (RAG) pipeline systemsSolid aptitude in prompt engineering aimed at refining communication with language modelsBackground establishing guardrail mechanisms to maintain safe, controlled behavior within AI systemsWorking knowledge of knowledge graphs and how they're applied in AI-based solutionsExperience connecting foundation models by way of cloud services such as AWS Bedrock and GCP Vertex AICapacity to maintain strong evaluation methods, observability, and security measures within live AI deploymentsAdequate communication skills paired with functional English fluency (B2 level or above) to grasp business needs and convert them into agentic architecture designsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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