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# GenAI Engineer

- **Company:** Indotronix Avani Group
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Integration, Machine Learning
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/UnFu2BkyHTSRHsBiWwfvF8ciinSZlzbpoC-FE4y7RQo

## About the Role

5+ years of software engineering experience (or equivalent via training, military, or education)

 - 3+ years building and deploying AI/ML or Generative AI solutions in production
 - Hands-on expertise in Retrieval-Augmented Generation (RAG), LLM orchestration, prompt engineering, and agentic or workflow-based AI systems
 - Proficiency in Python, Java, or similar programming language with production-grade coding practices
 - Experience integrating AI with enterprise platforms through secure APIs and orchestration patterns

Preferred Skills

 - Prior exposure to ServiceNow, Salesforce, or large-scale data platforms
 - Experience with enterprise knowledge and data integration
 - Understanding of security, privacy, risk, and governance in enterprise AI

## Description

Lead end-to-end design, prototyping, and delivery of AI-driven workflows, agents, copilots, and automatons using large language models and enterprise AI services

 - Build and deploy robust Generative AI and ML solutions in production environments
 - Integrate advanced AI capabilities with leading enterprise platforms (ServiceNow, Salesforce, internal data services) via secure API orchestration
 - Rapidly iterate on prototypes and ensure solutions meet enterprise standards for reliability, scalability, and supportability
 - Partner with business stakeholders, product owners, and engineering teams to understand business needs and define AI-enabled solutions
 - Serve as a technical bridge across business, product, data, security, and engineering teams to ensure usability, compliance, and alignment with objectives
 - Lead architecture and design initiatives, focusing on prompt engineering, workflow design, API integration, data integration, and AI governance


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