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Tier-1 brand, generic FullStack title, Pune location, and broad desirable GenAI/cloud skillset drive high competition.
Core full-stack and GenAI skills are transferable, but payments and regulatory controls increase domain specificity.
Numerous mandatory specialized skills (GenAI, LLMOps, cloud-native, DevSecOps) and senior leadership expectations raise strictness.
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Own development and delivery of scalable, secure full-stack software solutions using Python (FastAPI/Django) or Java (Spring Boot) and React/Angular/TypeScript.
Lead evolution of infrastructure and deployment pipelines leveraging cloud-native, DevSecOps, microservices, Docker, Kubernetes, and CI/CD.
Collaborate cross-functionally, ensuring seamless integration, code quality, security, and alignment with business objectives in a financial services context.
Experience with GenAI engineering including LLM integration, prompt engineering, RAG, embeddings, vector stores, and agentic workflows.
Proficiency in cloud-native development and DevSecOps using microservices, Docker, Kubernetes, CI/CD, observability, resilience and secure engineering.
Hands-on full-stack development skills with Python (FastAPI/Django) or Java (Spring Boot) plus React/Angular/TypeScript, APIs, databases, and automated testing.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune (onsite)
Experienced in AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, Spring AI or LangChain4j.
Familiarity with MLOps/LLMOps practices including prompt/model versioning, evaluation automation, monitoring, and cost optimization.
Background in financial services or payments, enterprise integration, event-driven architecture, responsible AI and regulatory controls.