NTT DATA

Python Gen AI Developer- Hybrid/Client Site

Irving, TX, US$75,168-$113,600Posted 7 days ago

Job Description

Req ID

364403

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Python Gen AI Developer- Hybrid/Client Site to join our team in Irving, Texas (US-TX), United States (US).

Python GenAI Developer

Role Overview

We are seeking an experienced Python GenAI Developer to design, develop, and implement generative AI and machine learning solutions that support business and technology objectives. The ideal candidate will have strong Python development skills, hands-on experience with Generative AI/LLMs, and experience building AI-powered applications using modern frameworks, APIs, databases, and cloud technologies.

The successful candidate will work closely with engineering, product, and leadership teams throughout the solution lifecycle—from functional and technical design through prototyping, development, testing, deployment, and ongoing optimization.

Key Responsibilities

  • Design, develop, test, and optimize Generative AI and machine learning solutions using Python and modern AI/ML frameworks.
  • Develop and integrate LLM-based applications, including conversational AI, retrieval-augmented generation (RAG), embeddings, and vector-based search solutions.
  • Work with frameworks and technologies such as LangChain, vector databases, embeddings, and related GenAI platforms.
  • Build production-ready AI applications and services using Python web frameworks such as FastAPI, Flask, or Django.
  • Integrate AI/ML solutions into enterprise applications through APIs, microservices, and cloud-based platforms.
  • Apply machine learning techniques using frameworks such as scikit-learn, TensorFlow, PyTorch, or JAX.
  • Develop and optimize machine learning models, including understanding of LLMs, GANs, VAEs, and other generative AI architectures

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