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Remote mid-level AI role with broad, popular skillset increases applicant competition.
Requires domain-specific banking experience and AI tooling, limiting cross-industry transferability.
Mandatory 3+ years, banking experience, and specific LLM and tooling requirements make filters strict.
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Design, develop, and operate AI-powered software systems delivering practical, real-world value in financial domains.
Lead prompt engineering for complex financial text and data extraction, and build autonomous LLM workflows to automate reporting processes.
Fine-tune and apply AI models (including Retrieval-Augmented Generation) using financial data, and visualize analytics using generative AI and programming tools.
3+ years of experience in AI, data science, or software engineering with practical banking project experience.
Advanced proficiency in Python and libraries (Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex).
Hands-on experience with commercial LLMs, vector databases, DataRobot, and SAS EG.
Work Experience Required: Minimum 3 years in relevant fields with banking domain exposure.
Experienced in applying AI and software engineering to financial services or banking projects, especially in automation and model customization.
Comfortable working independently with high ownership using advanced AI-first tools and techniques.
Skillful in prompt engineering, AI model fine-tuning, and creating autonomous AI workflows with measurable impact in production environments.