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NTT DATA Logo NTT DATA · IT - Software Development

Senior GenAI Developer

Romania, Cluj · Job Posted June 10, 2026
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Job Description

We are seeking a highly skilled, cross-functional AI Engineer to design, build, and scale a GenAI-powered conversational platform. The solution will combine advanced LLM capabilities with enterprise-grade backend systems, cloud infrastructure, and an interactive chat frontend.

Job Responsibility

  • Design and implement LLM-powered applications using advanced techniques such as: Retrieval-Augmented Generation (RAG)
  • Multi-agent systems/agent workflows
  • Context-aware, multi-turn conversational AI
  • Build and optimize pipelines using frameworks such as: LangChain, LangGraph, CrewAI
  • Ensure secure LLM usage, including: prompt injection mitigation
  • safe prompt design and validation
  • data privacy and access control
  • Build frameworks using: FastAPI, Flask, or Django
  • Design and implement: Microservices architecture, distributed systems, secure API patterns with authentication and authorization
  • Integrate APIs (REST / OData) with enterprise systems
  • Develop a React-based conversational UI with: Streaming responses (real-time token flow)
  • Chat history and multi-turn conversation management
  • Tool usage visualization (agent/tool execution display)
  • Build and maintain production-ready ML/AI systems: CI/CD pipelines for ML and application code
  • Model deployment and monitoring pipelines
  • Use tools and platforms such as: Docker, Kubernetes, Azure ML, Databricks, or AWS
  • Ensure system scalability, reliability, and observability
  • Integrate with enterprise platforms and tools such as: MXP, LeanIX, Gainsight (or similar ecosystems)
  • Implement RAG pipelines for: QBR (Quarterly Business Review) insights and reporting
  • Handle structured and unstructured data ingestion and transformation
  • Implement MCP (Model Context Protocol) client integration in Python
  • Enable interaction between LLMs and enterprise tools/services
  • Build modular tool ecosystems to support agent-based workflows

Requirements

  • BSc/MSc in Computer Science or related field
  • Core stack: Python (mandatory)
  • Node.js or Java (nice-to-have but preferred)
  • FastAPI, Flask, or Django
  • React (for frontend-focused roles)
  • Experience designing and building microservices-based and distributed systems
  • Strong understanding of secure API design, authentication, and system integration
  • Hands-on experience with REST and/or OData APIs
  • Practical experience with LLMs, Retrieval-Augmented Generation (RAG), and agentic AI systems
  • Familiarity with frameworks such as LangChain, LangGraph, or CrewAI
  • Strong skills in prompt engineering and secure LLM implementation, including mitigation of prompt injection risks
  • Experience working with containerization and orchestration tools such as Docker and Kubernetes
  • Proven ability to build and maintain CI/CD pipelines
  • Hands-on experience with cloud platforms such as Azure ML, Databricks, or AWS

Nice to have

  • Node.js
  • Java

What we offer

  • Smooth integration and a supportive mentor
  • Choose from Remote, Hybrid or Office work opportunities
  • Different working hours to suit your needs
  • Sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance custom-made for you
  • Individual coaching sessions or access to our accredited Coaching School
  • Epic parties or themed events for our people and their families
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