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ES

Senior Python AI Engineer

EPAM Systems
πŸ‡¦πŸ‡· Argentina | πŸ‡¨πŸ‡΄ Colombia | πŸ‡²πŸ‡½ Mexico
Remote
Senior
2 days ago
  • Python
  • AI
  • RAG
  • LangChain
  • LangGraph
  • CrewAI
  • ADK
  • AWS
  • Model Context Protocol
  • MCP
  • Language Models
  • AWS Bedrock
  • GCP
  • Vertex AI
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We are hiring a Senior Python AI Engineer to build production-grade AI systems that solve real business problems and deliver user value at scale. You will design agentic workflows, RAG pipelines, and safety guardrails with strong observability and security practices in a collaborative teamβ€”apply now.

Responsibilities

  • Design scalable software that powers intelligent, data-driven applications
  • Translate complex technical concepts into practical systems aligned with organizational goals
  • Collaborate with cross-functional teams to clarify technical requirements and deliver high-quality solutions
  • Write clean, maintainable, well-documented code aligned with industry best practices
  • Troubleshoot and resolve issues across the full software development lifecycle
  • Review code and provide constructive feedback to other engineers
  • Research emerging technologies and recommend improvements to current systems
  • Contribute to architecture decisions that guide the long-term technical direction of projects
  • Mentor junior team members and share technical knowledge across the organization
  • Ensure solutions meet scalability, performance, and maintainability expectations

Requirements

  • Hands-on experience in Python software engineering with 3+ years building, deploying, and operating reliable Artificial Intelligence systems and intelligent applications in production
  • Deep expertise in designing and implementing stateful multi-agent workflows, autonomous agentic systems, and multi-agent orchestration using LangChain, LangGraph, CrewAI, Google ADK, and the AWS Strands Agents SDK
  • Practical experience with Model Context Protocol (MCP) integrations
  • Hands-on skill in building and maintaining Retrieval-Augmented Generation (RAG) pipelines
  • Strong prompt engineering capability to improve interactions with language models
  • Experience implementing guardrails to keep AI system behavior safe and controlled
  • Familiarity with knowledge graphs and how they are used in AI-driven systems
  • Experience integrating foundation models via cloud platforms including AWS Bedrock and GCP Vertex AI
  • Ability to apply robust evaluation, observability, and security practices across production AI deployments
  • Decent communication skills with working English fluency (B2 level or higher) to gather business needs and translate them into agentic architectures

Senior Python AI Engineer Β· EPAM Systems

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