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Tier-1 brand, remote flexibility, metro location, and generalist senior title create high competition.
Platform, Kubernetes, microservices, and LLM skills are transferable but expect moderate domain bias.
Extensive mandatory tech stack and specialized LLM/platform expertise raise screening strictness.
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Design, develop, and manage scalable microservices-based applications leveraging Java, Spring Boot, Python, and Kubernetes.
Implement and optimize AI-powered features including agentic AI workflows, multi-agent systems, and RAG pipelines with vector databases and embedding models.
Drive platform engineering practices such as CI/CD, infrastructure automation, monitoring, and promote Test-Driven Development (TDD) with unit, integration, and contract testing.
Proficient in Python, Java, Spring Boot, microservices architecture, Kubernetes, and DevOps practices including infrastructure as code and CI/CD.
Experience in distributed systems design and implementation with databases (SQL, NoSQL) and test-driven development.
Strong expertise in AI/ML frameworks including LangChain, Hugging Face transformers, vector databases, agent frameworks, and multi-agent coordination.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in developing internal platforms or engineering tooling in a Wholesale financial or similarly complex business environment.
Skilled in advanced AI agentic workflows and multi-agent system patterns to embed autonomous AI functionalities in software.
Comfortable working at the intersection of platform engineering, AI integration, and scalable distributed systems to enhance developer productivity and application resilience.