Senior GenAI Engineer - Multi-Agent Orchestration Bedrock

EPAM Systems

South Africa

Teletrabalho

ZAR 1 000 000 - 1 800 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Healthcare benefits
Paid time off
Upskilling and certification courses
LinkedIn Learning access

Resumo da oferta

EPAM Systems, Inc. is seeking a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions on Amazon Bedrock AgentCore for a contact center transformation.

The role emphasizes multi-agent workflows, LLM-powered experiences, integration with Amazon Connect, and production-grade architectures using AWS serverless services. Strong Python, API development, and collaboration with stakeholders are essential.

Qualificações

  • 3+ years of AI/ML engineering experience.
  • Hands-on with Amazon Bedrock for generative AI apps.
  • Experience building agentic and multi-agent workflows.
  • Strong Python development and API skills.

Responsabilidades

  • Design multi-agent workflows on Bedrock AgentCore.
  • Develop agentic AI solutions with tool use and orchestration.
  • Build RAG pipelines and knowledge bases for accurate outputs.
  • Integrate with Amazon Connect to enhance contact center automation.
  • Deploy with AWS serverless services and optimize for cost and latency.

Conhecimentos

Python
LLM integration
Agentic AI
Prompt engineering
Multi-agent workflows
AWS serverless
API development
English proficiency

Formação académica

Bachelor's degree in CS or related

Ferramentas

Bedrock AgentCore
Amazon Connect
Lambda
Step Functions
API Gateway

Descrição da oferta de emprego

EPAM Systems, Inc. is seeking a Senior GenAI Engineer to design, build, and operationalize agentic AI solutions on Amazon Bedrock AgentCore for a contact center transformation.

The role emphasizes multi-agent workflows, LLM-powered experiences, integration with Amazon Connect, and production-grade architectures using AWS serverless services. Strong Python, API development, and collaboration with stakeholders are essential.

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