AI Engineer
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Date Posted
14 July 2026
Location
Mumbai
Positions
1
Employment Information
Open Positions
1
Location
Mumbai
Address
Mumbai
Experience
5 Years
Functional Area
Design
Job Description

Role: AI Engineer

Industry Type: Financial Services

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

UG: Any Graduate

PG: Any Postgraduate

1. About the Job

We are looking for an AI Leader to drive AI orchestration initiatives for Neuron, our internal code-assist platform. This role involves building intelligent systems that accelerate software development through AI-powered code generation, validation, and optimization.

2. Your Teams Impact

Your team will transform how NPCI builds and maintains applications by leveraging AI for faster, more reliable code delivery. You will enable developers to work smarter, reduce errors, and improve productivity across mission-critical payment systems.

3. What Youll Do

  • Architect and implement AI orchestration workflows for code assist.
  • Develop models for code generation, bug detection, and automated testing.
  • Integrate AI tools with CI/CD pipelines and developer environments.
  • Ensure scalability, security, and compliance in AI-driven development processes.

4. What Were Looking For

  • Experience: 69 years in AI/ML and software engineering leadership.
  • Skills:
    • Proficiency in Python, JavaScript, TypeScript, and AI frameworks (OpenAI, Hugging Face).
    • Experience with orchestration tools (Airflow, Kubernetes) and microservices.
    • Strong knowledge of DevOps, CI/CD, and secure coding practices.

Technology Spectrum

  • Python (core for AI/ML development)
  • Java Basics
  • TensorFlow Deep learning models
  • PyTorch Neural networks and advanced ML
  • Hugging Face NLP and transformer-based models
  • OpenAI APIs Generative AI for code assist and conversational AI Python Libraries:
  • Scikit-learn Classical ML algorithms
  • Pandas NumPy Data manipulation and numerical computing
  • Matplotlib Seaborn Visualization
  • NetworkX Graph analytics for mule detection
  • FastAPI / Flask Serving AI models as APIs
  • Generative AI (GenAI):
  • LLMs (Large Language Models) GPT-based models for text/code generation
  • Multi-Modal AI Vision + Text + Speech models for advanced fraud detection and user behavior analysis
  • Agentic AI Autonomous agents for workflow orchestration and decision-making in fraud prevention and code assist
  • Data Platforms:
  • Kafka Real-time streaming
  • Kubernetes Container orchestration for AI workloads
  • Docker Containerization for portability
  • AI Orchestration Automated workflows for code assist
  • Code Generation Validation Generative AI for developer productivity


Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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