Artificial Intelligence Engineer

Insight Global (Ipatinga MG, Brazil) Follow 2 days ago

Full-time Intelligent Agents Location-Based Service AI C API

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