Silver.dev - Carefull - Data Scientist / AI Engineer
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Requirements
• Strong Python skills with experience building data pipelines and production systems. • Hands-on experience with LLMs in production: designing workflows, handling structured outputs, managing context, and evaluating performance. • Experience with evaluation methodology: precision/recall tradeoffs, confusion matrices, error analysis, statistical significance. • Ability to work with messy tabular data (time series, inconsistent categorical labeling, incomplete records). • Comfortable reasoning about ambiguity and building systems that handle context-dependent answers. • Clear written and verbal communication in English; able to document reasoning and explain technical decisions to non-technical stakeholders. • Strong Plus • Experience with LangChain, LangGraph, or similar agent orchestration frameworks. • AWS experience (Lambda, CDK, Bedrock, Redshift, DynamoDB). • Background in fraud detection, financial services, or risk/compliance. • Experience with financial transaction data (ACH, Zelle, wire transfers, POS data, merchant categorization). • Familiarity with cost optimization for LLM-based systems at scale. • Experience working with regulated industries or bank partners. • Exposure to elder care, aging-in-place, or financial vulnerability research. • Background in data science or ML beyond LLMs (statistical modeling, anomaly detection).
Responsibilities
• Own end-to-end implementation of AI-driven detection features, from discovery to production deployment and iteration. • Design and build data enrichment pipelines to extract structured information from messy, real-world financial transaction data. • Research fraud and scam typologies relevant to older adults and translate findings into scalable detection logic. • Build evaluation frameworks (metrics, error analysis, model comparisons) to measure system performance and drive improvement. • Optimize AI pipelines for accuracy, latency, and cost, making informed tradeoffs on model selection and architecture. • Collaborate with Customer Service, Go-to-Market, and partner-facing teams to ensure solutions meet real-world needs and deliver measurable impact. • Stay current with developments in LLMs, agent architectures, and applied AI, and identify practical applications for our domain.
Benefits
• $60K – $78K • Offers Equity • Yearly offsites • Carefull • Carefull is an AI-powered financial safety platform that helps banks, credit unions, and wealth advisors protect older-adult customers from fraud and money mistakes. We help financial institutions maintain whole-family relationships while protecting their clients. Carefull’s technology addresses senior-specific financial safety challenges: our monitoring detects fraud patterns missed by industry-standard tools, and our features — identity-theft protection, password and document management, communication tools, and how-to content — help customers maintain financial independence while enabling loved ones to step in when needed.
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