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In-demand junior AI role with metro location and general AI stack increases applicant competition.
Core AI engineering skills are transferable, but enterprise finance governance adds moderate domain specificity.
Requires specific Python, LLM and Azure skills though no explicit years, producing moderate filtering.
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Support design and development of AI agents automating workflows and aiding business decisions.
Develop reusable AI components and integrate LLMs with enterprise systems and data platforms.
Collaborate with senior engineers and business teams on solution design, testing, and optimization within a governed AI platform.
Experience with backend development in Python including building or consuming APIs.
Foundational knowledge and hands-on experience with LLMs, AI agents, RAG systems, or ML-driven applications.
Familiarity with cloud platforms, preferably Microsoft Azure.
Basic understanding of data security, governance, and reliability principles.
Ability to work under guidance within a structured, governed enterprise AI environment focused on financial services.
Comfortable collaborating across technical and business stakeholders on AI solution design and integration.
Interest or background in AI-driven automation and managing compliance/audit standards in AI workflows.