GenAI Software Engineer, AVP
NatWest Group (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted on 21 Sept
Reach people at NatWest Group
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at NatWest Group you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Engineer and maintain high-performance, secure, and robust software solutions within a feature team.
- Produce complex and critical software rapidly that adds measurable business value, responsible for full software life cycle from development to deployment and operations.
- Collaborate across teams including engineers, architects, and business analysts to optimize software engineering capabilities.
Minimum Requirements
- Experience with software engineering, design, and architecture supporting customer-centric solutions.
- Proven experience with Small Language Models (SLMs) fine-tuning, data cleaning, tokenisation, evaluation, and running experiments with metric tracking and reporting.
- Experience in model deployment and MLOps tasks, automating data and training processes, and solving complex analytical/numerical problems.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Someone with extensive hands-on software engineering expertise in developing and deploying AI/ML models, especially in natural language processing (Small Language Models).
- Candidate thrives in cross-functional feature teams handling end-to-end software delivery with rapid iteration and high-quality output.
- Comfortable working in complex environments requiring automation of data/training workflows and collaborating to enhance software engineering processes.