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Tier-1 brand, metro location, and broad full-stack plus generative-AI requirements increase applicant competition.
Highly specialized ML/LLM, MLOps and finance compliance requirements limit cross-industry transferability.
Many mandatory AI/ML, LLM, MLOps, cloud, security and financial-regulatory requirements make screening stringent.
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Lead the engineering and development of the SOLD Simplification multiyear initiative to make the platform compliant with new environments and hardware refresh while removing redundant functionalities.
Design, develop, and deliver scalable, secure AI-driven full-stack software solutions using Python or Java stacks and modern frontend technologies.
Coordinate and support requirements discovery, initiative and delivery planning, roadmap creation, and stakeholder management across cross-functional teams.
Strong full-stack engineering skills with Python (FastAPI/Django) or Java (Spring Boot) and frontend frameworks (React, Angular, TypeScript).
Hands-on experience delivering Generative AI solutions including LLM integration, prompt engineering, embeddings, vector databases, and AI workflows.
Experience in cloud-native engineering and DevSecOps practices such as Docker, Kubernetes, CI/CD, automated testing, and production support.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune office (onsite).
Expertise in designing secure, scalable enterprise applications using microservices, REST APIs, event-driven architectures, and relational/NoSQL databases.
Proven technical leadership, capable of guiding multi-year strategic initiatives and collaborating with senior stakeholders across functions.
Background in AI frameworks (LangChain, LlamaIndex, Spring AI), MLOps/LLMOps, and preferably financial services or payments domain knowledge with regulatory compliance awareness.