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Strong employer brand, metro location, and visible AI role create moderate applicant competition.
AI engineering skills transferable, but financial domain preference raises fit sensitivity slightly.
Extensive mandatory skills in generative AI, deployment, cloud, full-stack, and production engineering imply strict filtering.
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Design, develop, and deploy AI-powered applications integrated with Large Language Models (LLMs) to enhance investment management workflows and generate insights.
Engineer scalable, production-grade AI solutions using generative AI models, cloud-native architectures, and automated workflows in asset management.
Collaborate with global cross-functional teams to accelerate adoption of generative AI across distribution, investments, and investment operations.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
Strong Python programming skills and experience with generative AI models including prompt engineering, fine tuning, and RAG implementation.
Proficiency with cloud computing (AWS), containerization, CI/CD pipelines, full-stack development (React/JavaScript, RESTful APIs), and handling large-scale datasets.
Work Experience Required: Not explicitly mentioned in the JD. In-office attendance required at least three days per week in India office.
Engineering (B.E./B.Tech) or Master's in quantitative disciplines from a well-recognized institute.
Experienced in fast-paced, agile software engineering environments with ability to translate complex business needs into technical solutions.
Strong cross-functional communication skills and experience working with globally distributed teams on AI and investment management technology.