Job Description
Engineering the Intelligence Behind the Bank!
In this role, you will be part of a team responsible for the end-to-end lifecycle of AI models. From data ingestion to production-grade deployment on AWS, you’ll be working on solutions that ensure millions of customers can manage their money safely and intelligently.
✨ Job Highlights & Quick Details
| Detail | Information |
| Role Name | Software Engineer (AIML) |
| Location | Bangalore (Mahadevapura Campus) |
| Industry | Banking & Financial Services (FinTech) |
| Qualification | B.E / B.Tech / M.E / M.Tech (CS/IT/Data Science) |
| Experience | Fresher – 2 Years (2025/2026 Batch) |
| Salary (CTC) | ₹9.0 – ₹13.0 LPA (As per Glassdoor & Industry Data) |
| Core Stack | Python, Gen AI (LLMs/RAG), AWS, PyTorch, SQL |
Keyword Focus: NatWest Bangalore AIML Hiring 2026, Software Engineer AI ML NatWest Salary, NatWest Group Interview Process for Freshers, Generative AI Jobs Bangalore, NatWest AWS Machine Learning Roles.
💡 The Role: Building a Future-Ready Bank
As an AIML specialist at NatWest, you’ll dive into a “feature team” ecosystem:
- Generative AI & NLP: Developing applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to automate customer support and internal workflows.
- Predictive Modeling: Building models for Named Entity Recognition (NER) and anomaly detection to identify financial irregularities.
- AWS Integration: Leveraging AWS Sagemaker and other cloud services to deploy and monitor machine learning models at scale.
- API Development: Integrating AI outputs into the bank’s core services via robust REST APIs.
📝 Selection Process: The Multi-Stage Evaluator
NatWest’s recruitment process is rigorous, looking for a blend of standard software engineering skills and specialized AI knowledge.
- Stage 1: Online Assessment (OA):
- Coding: 2 Medium-level problems (Focus on Sliding Window, Strings, and Arrays).
- Technical MCQs: Detailed questions on DBMS (SQL queries), OOPs, OS, and Machine Learning fundamentals.
- Stage 2: Technical Interview 1 (Problem Solving):
- A live coding session. You might be asked to solve a DSA problem (e.g., “Maximum profit by k-swaps”) and then explain its complexity.
- Stage 3: Technical Interview 2 (AIML & System Design):
- Deep Dive: Discussion on your AI projects. Expect questions on Deep Learning, Neural Networks, and how you would evaluate a model’s performance.
- Design: A high-level design question, like “How would you design a real-time fraud detection system using AI?”
- Stage 4: Behavioral & HR Interview:
- Focused on NatWest’s core values (Growth, Curiosity, Inclusion). Be prepared to answer: “Why NatWest?” and “Tell us about a time you handled a technical disagreement.”
➡️ How to Apply for NatWest AIML Role
- Application Link: Apply via the portal: Apply Now – NatWest Off Campus.
- Portfolio is Key: For an AIML role, your GitHub matters. Ensure you have at least one clean project involving LLMs or Computer Vision.
- The “NatWest Facts”: Mention their focus on “Responsible AI” and “Sustainable Banking” during your interview—it shows you’ve done your homework.
- Academic Consistency: NatWest usually looks for a CGPA of 7.0+ and no active backlogs.