[Remote] AI/LLM Engineer
Note: The job is a remote job and is open to candidates in USA. NTT DATA is a global business and technology services company providing consulting, data and artificial intelligence, industry solutions, and application and infrastructure services. The AI/LLM Engineer will develop, test, maintain, and integrate AI-enabled applications, agents, copilots, workflows, and services with enterprise systems. The role will also support AI pilots and production deployments, model evaluation, prompt optimization, troubleshooting, documentation, and engineering best practices.
Responsibilities
- Develop, test, and maintain Al-enabled applications, workflows, and services
- Build and enhance Al agents, copilots, and automation solutions using approved enterprise Al platforms and fran
- Integrate Al capabilities with enterprise applications and data sources through APls and service integrations
- Collaborate with product owners, business stakeholders, and engineering teams to implement business requirements
- Support proof-of-concept, pilot, and production Al initiatives
- Participate in model evaluation, prompt optimization, and solution testing activities
- Troubleshoot and resolve issues related to Al 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
Skills
- 5+ years of software engineering experience or equivalent practical 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 Python development skills and experience building production-quality applications
- Experience consuming Client and integrating applications with enterprise systems
- Familiarity with cloud-native development practices and modern software engineering methodologies
- Strong problem-solving, debugging, and troubleshooting skills
- Ability to work effectively in a fast-paced, collaborative engineering environment
- 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 capabilities
- Experience with enterprise platforms such as ServiceNow, Salesforce, data platforms, or similar systems
- Understanding of responsible AI, security, privacy, and compliance considerations
Company Overview
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