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Strong employer brand, metro location, generalist fullstack title, and broad mid-level technical requirements increase competition.
Technical stack and ML skills are transferable, but banking R&D context gives moderate domain preference.
Multiple mandatory technical skills (Python required, NodeJS/ReactJS, LLM/ML, CI/CD, production SRE) increase filtering strictness.
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Design, develop, and deliver significant engineering components addressing complex banking technology challenges using Python and other tech stacks.
Own fast prototyping and building of user interfaces, services, APIs, and databases, ensuring software reliability and ease of production support.
Contribute to maintaining automated Continuous Delivery pipelines and provide 3rd line production support when required.
Strong experience in Python (mandatory), with additional skills in NodeJS and ReactJS as required by specific problems.
Experience with ML and GenAI technologies including LLMs, NLP algorithms, and building APIs conforming to OpenAI standards.
Knowledge of SQL and NoSQL databases, CI/CD, Site Reliability Engineering principles, and production delivery experience.
Work Experience Required: Not explicitly mentioned in the JD. Location required: Bangalore, India.
Experienced in solving complex banking technology problems independently and across diverse teams.
Capable of working across stack layers including front-end, back-end, and infrastructure with a generalizing specialist mindset.
Strong foundation in machine learning application, API development, and automated deployment practices in production environments.