qode.world

GenAI Engineer

qode.world

contract

Posted on:

Origin:  • 🇺🇸 United States • Florida

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Job Level

Mid-LevelSenior

Tech Stack

Python

About the role

  • Job Title: GENAI Engineer with Agentic Experience
  • Location: Tampa, FL / Basking Ridge, NJ / Dallas, TX (Hybrid)
  • Duration: Long-term Contract
  • Job Description: We are seeking a highly skilled GENAI Engineer with Agentic Experience to join our team. The ideal candidate will have expertise in Generative AI (GENAI), Multiagent systems, and frameworks such as LangChain, LangGraph, and CrewAI. This role requires strong proficiency in Python, Machine Learning (ML), and Data Science to design, develop, and deploy AI-driven solutions.
  • Families(Skill Set): GENAI, Multiagent, LangChain,LangGraph,CrewAI,Python,ML,Data Science
  • Key Responsibilities: - Develop and optimize Generative AI solutions using LangChain, LangGraph, and CrewAI. - Implement and enhance multiagent systems for intelligent decision-making and automation. - Leverage Python to build scalable and efficient AI models. - Apply ML and Data Science principles to analyze and improve AI models. - Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications. - Stay updated with the latest advancements in AI, Multiagent frameworks, and GENAI technologies.
  • Required Skills & Qualifications: - Proven experience in Generative AI (GENAI) and Multiagent systems. - Hands-on expertise with LangChain, LangGraph, and CrewAI. - Strong programming skills in Python. - Solid understanding of Machine Learning (ML) algorithms and Data Science. - Experience in designing and implementing agentic AI systems. - Ability to work in a hybrid model and collaborate with distributed teams.

Requirements

  • Proven experience in Generative AI (GENAI) and Multiagent systems.
  • Hands-on expertise with LangChain, LangGraph, and CrewAI.
  • Strong programming skills in Python.
  • Solid understanding of Machine Learning (ML) algorithms and Data Science.
  • Experience in designing and implementing agentic AI systems.
  • Ability to work in a hybrid model and collaborate with distributed teams.