Hybrid GenAI Python Developer: Build AI Apps & LLMs

NTT DATA, Inc.; Irving (TX); Hybrid; USD 75,000 - 114,000; Full time

Job summary

NTT DATA Services in Irving, TX is seeking a Python GenAI Developer to design, build, and deploy Generative AI and ML solutions that drive business outcomes. You will work on LLM-based apps, RAG, embeddings, and modern frameworks.

You will collaborate with engineering, product, and leadership, applying cloud and API/microservices, in an Agile environment to deliver scalable AI solutions.

Qualifications

• 5+ years of software development experience.
• 3+ years of hands-on Python development with NumPy/Pandas.
• 2+ years with Generative AI/LLM tech and architectures.
• Experience building AI/ML apps using Python.
• Hands-on with LangChain, embeddings, vector DBs, and RAG.
• Experience with FastAPI/Flask/Django; REST APIs and cloud.
• Experience with MongoDB and Neo4j; GCP knowledge.
• Experience in an Agile/Scrum environment.

Responsibilities

• Design, develop, test, and optimize GenAI/ML solutions in Python.
• Develop and integrate LLM-based apps including conversational AI.
• Work with LangChain, embeddings, vector databases, and RAG.
• Build production AI services using Python web frameworks.
• Integrate AI/ML into apps via APIs, microservices, and cloud services.
• Apply ML techniques with scikit-learn, TensorFlow, PyTorch, or JAX.
• Work with Neo4j and MongoDB for knowledge graphs and data needs.
• Deploy AI solutions in cloud environments (GCP) and collaborate in Agile teams.

Skills

5+ years software development

3+ years Python development

2+ years GenAI/LLM experience

AI/ML applications in Python

LangChain, embeddings, vector DBs, RAG

REST APIs, microservices, cloud

GCP knowledge

Agile/Scrum

Tools

LangChain

vector databases

embeddings

FastAPI

Flask

Django

scikit-learn

TensorFlow

PyTorch

JAX

MongoDB

Neo4j

Google Cloud Platform

Job description

NTT DATA Services in Irving, TX is seeking a Python GenAI Developer to design, build, and deploy Generative AI and ML solutions that drive business outcomes. You will work on LLM-based apps, RAG, embeddings, and modern frameworks.

You will collaborate with engineering, product, and leadership, applying cloud and API/microservices, in an Agile environment to deliver scalable AI solutions.