Added
8 days ago
Type
Full time
Salary
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python rag langgraph llm vector databases

πŸ“‹ Description

  • Design, develop, and deploy autonomous AI agents and multi-agent systems for real-world business
  • Architect agentic workflows incorporating planning, reasoning, memory, tool usage, and autonomous
  • Build and optimize Retrieval-Augmented Generation (RAG) systems, knowledge retrieval pipelines
  • Develop scalable agent orchestration frameworks using tools such as LangGraph, CrewAI, AutoGen, and
  • Integrate AI agents with internal systems, APIs, databases, enterprise platforms, and third-party
  • Implement evaluation frameworks, monitoring, observability, and guardrails to ensure reliability

🎯 Requirements

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering
  • At least 7 years of software engineering experience, including the development of scalable
  • At least 3 years of hands-on experience building and deploying AI/ML solutions in production
  • Strong proficiency in Python and modern AI development frameworks.
  • Demonstrated experience developing AI agents, autonomous workflows, and agent orchestration systems.
  • Expertise in Large Language Models (LLMs), including platforms and models such as OpenAI

🎁 Benefits

  • Fully remote position, offering flexibility.
  • Full-time opportunity to lead the development of advanced AI systems and agentic platforms.
  • Opportunity to influence AI architecture, engineering standards, and strategic technology decisions.
  • Hands-on work with cutting-edge LLMs, autonomous agents, multi-agent architectures, and intelligent
  • Opportunity to solve complex technical and business challenges through production-grade AI
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