Generative AI Engineer (Junior - Senior)

NTT
Ho Chi Minh City
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: []

Build and deploy agentic generative AI applications in a micro-services environment. Design autonomous multi-agent systems, develop tools and interfaces for external APIs and data sources, and architect scalable communication and coordination between agents. Apply prompt engineering to optimize LLM behavior, and implement cloud deployments across Azure/AWS/GCP using containerization or serverless options. Collaborate with cross-functional teams and continually experiment with new GenAI frameworks and techniques.

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FursaFursa
NTT
NTT
2 months ago

Generative AI Engineer (Junior - Senior)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 days agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and deploy agentic generative AI applications in a micro-services environment. Design autonomous multi-agent systems, develop tools and interfaces for external APIs and data sources, and architect scalable communication and coordination between agents. Apply prompt engineering to optimize LLM behavior, and implement cloud deployments across Azure/AWS/GCP using containerization or serverless options. Collaborate with cross-functional teams and continually experiment with new GenAI frameworks and techniques.
Location: Ho Chi Minh City
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and deploy agentic applications, including autonomous agents and multi-agent systems that reason, plan, and execute tasks.
  • •Create robust tools and interfaces so agents can interact with external APIs, databases, and software environments.
  • •Architect scalable and reliable multi-agent systems, ensuring efficient communication and coordination between agents.
  • •Develop, test, and optimize advanced prompts to improve LLM accuracy and reliability in agent outputs.
  • •Deploy, monitor, and maintain AI and agentic applications on cloud platforms, focusing on scalability, latency, and cost optimization.

Key Requirements

  • •Proficiency in Python, including asynchronous programming and API development with FastAPI or Flask.
  • •Deep understanding of LLMs, including tuning techniques such as RAG and fine-tuning.
  • •Hands-on experience with modern agent frameworks.
  • •Strong experience with Azure, AWS, or GCP ecosystems and deploying AI applications in those environments.
  • •Experience deploying with containerization (Docker, Kubernetes) and/or serverless options (Azure Functions, AWS Lambda, GCP Cloud Run), plus familiarity with LLMOps/MLOps evaluation and monitoring pipelines.
Tech Stack:PythonFastAPIFlaskRAGAzureAWSGCPDockerKubernetesAzure FunctionsAWS LambdaGCP Cloud Run

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn