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Job Description
Structured overview of role & requirementsAbout This Role
Architect and deliver enterprise-grade AI solutions using Generative AI, Large Language Models, and agentic frameworks to meet business challenges.
Lead hands-on development of full-stack, cloud-native applications involving React, TypeScript, Python/Java, APIs, microservices, and data analytics platforms.
Define technical strategy and standards for AI products, mentor engineers, and collaborate with cross-functional teams to translate business needs into scalable production AI services.
Minimum Requirements
Extensive hands-on experience in enterprise software engineering and AI solution delivery, including ReactJS, TypeScript, Python or Java, microservices architecture.
Proven practical knowledge of LLM applications, AI agents, RAG architectures, vector databases, and LLMOps tools and processes.
Strong familiarity with cloud-native architectures, BigQuery, PostgreSQL, CI/CD, Docker, Kubernetes, Terraform, and observability frameworks.
Bachelor’s degree in Computer Science, Engineering, Science or equivalent professional experience; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in bridging AI/ML engineering with financial domain knowledge, especially in asset management and investment product analytics.
Capable of leading engineering teams through full product lifecycle from prototype to enterprise production with strong architectural and mentorship skills.
Demonstrates strong stakeholder engagement and ability to align technical delivery with measurable business outcomes in a complex, cross-functional environment.