NTT DATA  Services

AI Engineer-Python-Agentic AI

NTT DATA Services Noida, Uttar Pradesh, India

IT Services and IT Consulting · 10,001+ employees

Sep 23 Closes in 3d
python Senior (5-10 yrs) Full-time India
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About the role

The candidate will design, develop, and maintain scalable full-stack applications integrated with AI-driven solutions. They will collaborate with cross-functional teams to implement intelligent automation, chatbot integrations, and predictive analytics within enterprise applications.

What they look for

Python Flask FastAPI Django React.js Angular JavaScript REST APIs Microservices PostgreSQL MySQL MongoDB Git CI/CD Cloud Platforms AI Implementation

Requirements

The role requires at least 5 years of hands-on experience in Python full-stack development and proficiency in backend frameworks and frontend technologies. Candidates must have experience with AI implementation projects and a degree in Computer Science or a related field.

Full description

At NTT DATA Services, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company’s growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA Services and for the people who work here. NTT DATA Services, Inc. currently seeks a Python Full Stack Developer to join our team in Noida/Bangalore (India).

Job Description – Python AI Full Stack Developer

Position Details

  • Role: Python Full Stack Developer
  • Grade: Grade 10
  • Experience Required: 5+ Years

Role Overview

We are looking for a highly skilled Python Full Stack Developer to join our AI Automation Team. The candidate will be responsible for designing, developing, and implementing scalable full stack applications integrated with AI-driven solutions. The role requires strong expertise in backend and frontend development along with hands-on exposure to AI implementation projects and intelligent automation solutions.

The ideal candidate should be capable of collaborating with QA, Automation, Product, and AI Engineering teams to build innovative AI-enabled platforms and automation solutions for enterprise applications.

Key Responsibilities

  • Design, develop, and maintain scalable full stack applications using Python-based technologies.
  • Develop and integrate AI-powered features and automation capabilities into enterprise applications.
  • Collaborate with AI Engineers, QA teams, Product Owners, and Architects to understand business problems and implement technical solutions.
  • Build RESTful APIs, backend services, and frontend interfaces for AI-enabled platforms.
  • Participate in solution design, technical discussions, and architecture reviews.
  • Implement secure, high-performance, and reusable code following best engineering practices.
  • Work on AI integration use cases such as intelligent automation, chatbot integration, recommendation engines, predictive analytics, or GenAI-based solutions.
  • Perform unit testing, debugging, optimization, and production support activities.
  • Contribute to CI/CD pipelines, deployment automation, and cloud-based application delivery.
  • Ensure scalability, maintainability, and performance of developed applications.

Required Skills & Qualifications

  • 5+ years of hands-on experience in Python Full Stack Development.
  • Strong expertise in Python frameworks such as Flask, FastAPI, or Django.
  • Experience in frontend technologies such as React.js, Angular, JavaScript, HTML5, and CSS3.
  • Hands-on experience in at least one AI implementation project.
  • Experience implementing AI solutions within enterprise applications.
  • Strong understanding of REST APIs, microservices architecture, and backend integrations.
  • Knowledge of databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.
  • Experience with Git, CI/CD pipelines, and DevOps practices.
  • Understanding of cloud platforms such as Azure, AWS, or GCP.
  • Good problem-solving, analytical, and communication skills.

Preferred Skills

  • Experience with Generative AI, LLM integrations, or AI automation frameworks.
  • Exposure to AI/ML libraries such as TensorFlow, PyTorch, LangChain, or OpenAI APIs.
  • Experience working in Agile/Scrum delivery environments.
  • Knowledge of containerization technologies such as Docker and Kubernetes.
  • Experience with automation platforms and intelligent workflow solutions.

Educational Qualification

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Key Competencies

  • Strong ownership and accountability.
  • Ability to work in cross-functional teams.
  • Solution-oriented mindset with innovation focus.
  • Strong communication and stakeholder management skills.
  • Ability to adapt to fast-changing AI technologies and business requirements.

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