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NTT DATA Logo NTT DATA · IT - Software Development

Full Stack (Backend Focused) Engineer

India, Remote · Job Posted February 14, 2026
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Job Description

The Full Stack Engineer role at NTT DATA involves developing AI-enabled applications and scalable backend services. Candidates should have at least 5 years of experience with React and Node.js, along with Python for AI scripting. The position requires collaboration in dynamic environments and offers opportunities for innovation in cloud technologies.

Job Responsibility

  • Design, implement, and maintain RESTful APIs
  • Integrate userfacing experiences with serverside logic
  • ensure resilient API contracts for web and mobile clients (e.g., React Native)
  • Implement robust testing (unit/integration/e2e), performance tuning, and production diagnostics
  • Build agentic AI workflows using tools like GitHub Copilot and LLM platforms (e.g., Claude, Azure OpenAI, OpenAI API, etc.)
  • Implement tool/function calling, prompt/chain orchestration (e.g., LangChain/LlamaIndex), evaluation, safety guardrails, and prompt/version management
  • Deliver RAG patterns using embeddings and vector databases (e.g., Pinecone, FAISS, Redis, Azure AI Search/OpenSearch) to ground models on enterprise data
  • Design and deploy services on Azure (App Services, Functions, Storage, API Management
  • Azure DevOps/GitHub Actions pipelines)
  • Use containers and orchestration (Docker, Kubernetes) and IaC (Terraform/Bicep)
  • Implement observability (logs, metrics, tracing with OpenTelemetry), rate limiting, retries, circuit breakers, and cost/latency monitoring
  • Participate in discovery workshops, align on requirements, and convert client needs into technical plans and release roadmaps
  • Create clear documentation, demos, and walkthroughs
  • explain complex concepts to non-technical stakeholders

Requirements

  • 5+ years professional fullstack or backend experience, including React and Node.js/TypeScript
  • 2+ years building LLM-integrated or agentic AI features (tool/function calling, orchestration, guardrails, or evaluations)
  • 3+ years with Python for AI scripting, data processing, or service integration (FastAPI/Flask/Django a plus)
  • Ability to travel up to 25% as needed

Nice to have

  • Agent frameworks (LangChain, LlamaIndex)
  • embeddings
  • vector databases (Pinecone, FAISS, Redis, Azure AI Search)
  • Model lifecycle exposure: finetuning, adapters/LoRA, quantization, inference optimization, and safe deployment
  • Kubernetes, API Management, GitOps, and advanced observability/telemetry
  • Mobile collaboration (React Native) or designing API contracts for native clients
  • Familiarity with FastAPI/Django (Python) or NestJS (Node)
  • experience with Java in highscale backends
  • Cloud certifications (Azure/AWS/GCP) and Agile/Scrum delivery experience
  • Consulting background or experience delivering to regulated enterprises
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