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Unconventional LLM Agent Architect - Harnessing AWS for Next-Gen Agent Solutions

Posted 2 months agoViewed

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💎 Seniority level: Senior, 4-6 years

📍 Location: India, IST, NOT STATED

🔍 Industry: Commerce / AI Solutions

🏢 Company: Expedite Commerce👥 11-50CRME-CommerceBillingSaaSSalesSoftware

🗣️ Languages: English

⏳ Experience: 4-6 years

🪄 Skills: AWSPythonAgileDynamoDBPyTorchSalesforceJiraServerlessCommunication SkillsCI/CDDebugging

Requirements:
  • Proven LLM & Agent Architecture experience, excluding LangChain and Crew.ai.
  • 4-6 years of hands-on experience in designing LLM-based agents.
  • Fluency in Python (3.10+) including advanced features.
  • Skilled in monitoring and optimizing LLM agents for performance.
  • Experience with AWS services like Lambda, Docker, S3, and CI/CD tools.
Responsibilities:
  • Architect and fine-tune LLM agents that tackle real-world challenges.
  • Utilize AWS services for developing scalable, serverless solutions.
  • Implement monitoring systems for real-time performance tracking.
  • Collaborate with cross-functional teams to integrate LLM agents.
  • Drive measurable outcomes through innovative design and deployment.
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