Agentic AI Developer jobs in United States
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Jobs via Dice ยท 1 day ago

Agentic AI Developer

positionNew York, NY
timeFull-time
remoteOnsite
seniorityMid, Senior Level

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ztek Consulting, is seeking an Agentic AI Developer to implement LangGraph based frameworks and leverage Large Language Models for content generation and automation solutions.

Computer Software

Responsibilities

Develop LangGraph based Agentic Framework implementation
Use Large Language Models for content generation
Create Prompt templates for LLMs
Fluent in Python, Jupyter Notebooks
Experience in RAG pipelines / Vector Databases
Develop Python-based parsers for PDFs
Experience on Node.js programming and testing
Experience on deployment in AWS or Google Cloud Platform Development and testing of a Generative AI solution, either Agentic or non-AgenticAI
Deep understanding of any framework, either Langgraph or Autogen or CrewAI
Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF, and success measurement
Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases
Designing end-to-end Generative AI solutions tailored to specific use cases
Deep understanding of automation and AI technologies and their application in business operations

Qualification

LangGraph FrameworkLarge Language ModelsPythonAWSGoogle CloudNode.jsRAG pipelinesData preprocessingJupyter NotebooksPrompt managementAutomation technologies

Required

Develop LangGraph based Agentic Framework implementation
Use Large Language Models for content generation
Create Prompt templates for LLMs
Fluent in Python, Jupyter Notebooks
Experience in RAG pipelines / Vector Databases
Develop Python-based parsers for PDFs
Experience on Node.js programming and testing
Experience on deployment in AWS or Google Cloud Platform
Development and testing of a Generative AI solution, either Agentic or non-AgenticAI
Deep understanding of any framework, either Langgraph or Autogen or CrewAI
Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF, and success measurement
Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases
Designing end-to-end Generative AI solutions tailored to specific use cases
Deep understanding of automation and AI technologies and their application in business operations

Company

Jobs via Dice

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