
5001 - 10000 employees
📣 Marketing
💸 Finance
💳 Fintech
Marketing • Finance • Fintech
Vericast is a company focused on accelerating the performance of financial institutions. Through the use of data, artificial intelligence, and innovative strategies, Vericast helps banks and credit unions drive growth and enhance their marketing performance. The company provides a variety of solutions including digital marketing, direct mail, card solutions, check solutions, customer and employee insights, and customer change management. Vericast leverages responsibly sourced data to engage consumers effectively, which is why many financial institutions trust them for solving marketing challenges. Their expertise in the financial sector is aimed at delivering insights and growth solutions, positioning them as a leader in financial marketing services.
🔥 0 minutes ago
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5001 - 10000 employees
📣 Marketing
💸 Finance
💳 Fintech
Marketing • Finance • Fintech
Vericast is a company focused on accelerating the performance of financial institutions. Through the use of data, artificial intelligence, and innovative strategies, Vericast helps banks and credit unions drive growth and enhance their marketing performance. The company provides a variety of solutions including digital marketing, direct mail, card solutions, check solutions, customer and employee insights, and customer change management. Vericast leverages responsibly sourced data to engage consumers effectively, which is why many financial institutions trust them for solving marketing challenges. Their expertise in the financial sector is aimed at delivering insights and growth solutions, positioning them as a leader in financial marketing services.
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• Bachelor's Degree in a technical or numerical field (Required) • 8+ years' experience designing and developing software applications and/or data engineering pipelines • 3+ years' experience leading or providing technical direction to engineers on application or AI/ML delivery teams • Experience in LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP Server development, embedding-based search, and LLM integration • Experience in microservices architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD, and DevOps automation • Strong hands-on expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms • Proven ability to lead technical delivery and mentor engineers • Strong communication and facilitation skills; able to translate business requirements into technical designs • Working understanding of AI ethics, data privacy, and regulatory considerations relevant to AI systems
• Medical, dental and vision coverage • 401K matching • Flexible PTO • Life insurance • Employee assistance • Pet insurance
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