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Artificial intelligence engineer

Marabá
Insight Global
Anunciada dia 16 junho
Missão do cargo

Required Skills & Experience

  • 3–5 years of experience building AI/LLM-based agents and deploying workflows in production environments
  • 1–2 years of hands-on experience with LangChain, LangGraph, or similar orchestration frameworks
  • Strong experience integrating APIs and working with real-time data workflows
  • Proficiency in Python (or similar) for backend or AI development
  • Experience working in structured development environments with QA and validation processes
  • Strong problem-solving skills with the ability to operate in fast-paced, high-urgency environments


Nice-to-Have Skills & Experienc

  • eHands-on experience with AD
  • KExperience working on high-scale systems (millions of daily interactions
  • )Exposure to enterprise or internal AI platforms and framework
  • sExperience building conversational AI or workflow automation agent
  • sFamiliarity with healthcare, retail, or location-based service ecosystem

s
Job Overvi

ewWe are seeking an AI Engineer to design, build, and scale intelligent agents supporting a high-volume enterprise platform operating across approximately 9,000 locations and handling millions of daily interaction

s.This role focuses on developing and optimizing LLM-powered agents that drive real-world workflows, including scheduling and location-based service


s.
Key Responsibilit

  • iesDesign, develop, and deploy AI agents using LLM frameworks such as LangChain and LangGr
  • aphBuild scalable workflows that support high-throughput, real-time user interacti
  • onsIntegrate agents with internal and external APIs (e.g., location services, scheduling syste
  • ms)Collaborate within a highly interactive team environment, including daily standups (9–11 AM EST) focused on issue resolution and progress track
  • ingPartner with QA and validation teams to test, refine, and productionize agent capabilit
  • iesTroubleshoot platform-related challenges and optimize performance within internal framewo
  • rksContinuously develop and expand new agent use cases to support evolving business ne

eds
Current Use C


ases
Appointment Booking

  • AgentFully developed and currently in QA/te
  • stingUses zip code inputs to query APIs and return location details (hours, services, availabi

lity)
Location Transfer

  • AgentCurrently in active devel
  • opmentEnables transferring interactions across loc

ations
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