JobHabor

AI/LLM Engineer

Ntt Data

Location
Charlotte, NC
Workplace
Hybrid
Employment
Full Time
Salary
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Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Develop, test, and maintain AI-enabled applications, workflows, and services
  • Build and enhance AI agents, copilots, and automation solutions
  • Integrate AI capabilities with enterprise applications and data sources through APIs
  • Collaborate with product owners and stakeholders to implement business requirements
  • Support proof-of-concept, pilot, and production AI initiatives
  • Participate in model evaluation, prompt optimization, and solution testing
  • Troubleshoot and resolve issues related to AI applications and integrations
  • Contribute to reusable components, templates, and engineering best practices
  • Support production deployments and ongoing operational activities
  • Document technical designs, implementation details, and operational procedures

Requirements

  • 5+ years of software engineering experience
  • 2+ years of hands-on experience developing and deploying AI/ML or Generative AI solutions
  • 5+ years of experience working with Large Language Models (LLMs) and Generative AI frameworks
  • 5+ years of Python development experience
  • Experience consuming REST APIs and integrating applications with enterprise systems
  • Familiarity with cloud-native development practices

Preferred

  • Experience with Retrieval-Augmented Generation (RAG) patterns
  • Experience with prompt engineering and LLM orchestration frameworks
  • Experience building AI agents, copilots, or workflow automation solutions
  • Familiarity with vector databases, knowledge retrieval systems, and enterprise search
  • Experience with enterprise platforms such as ServiceNow, Salesforce, or data platforms
  • Understanding of responsible AI, security, privacy, and compliance

Skills

  • Python
  • REST APIs
  • Generative AI
  • LLM
  • Prompt Engineering
  • RAG
  • Git
  • Docker
  • Kubernetes
  • Azure
  • ServiceNow
  • Salesforce

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