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, artificial intelligence, application, infrastructure, and connectivity solutions. The AI/LLM Engineer will develop and deploy AI-enabled applications, agents, copilots, workflows, and services, integrate AI capabilities with enterprise systems, and support proof-of-concept through production initiatives. The role also involves model evaluation, prompt optimization, troubleshooting, reusable engineering components, deployments, and technical documentation.
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
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