AI Engineer II

About Zeta Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by and Ramki Gaddipati in 2015. Our flagship processing platform - Zeta Tachyon - is the industry's first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 15M+ cards have been issued on our platform globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US , EMEA , and Asia . We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021. Learn more @ , , , About the role Synapse is Zeta's digital banking team, building modern consumer experiences for banks and credit unions atop Zeta's Tachyon. Synapse offers a pre-integrated, fully compliant, out-of-the-box digital experience stack for banks and credit unions. As an AI Engineer at Zeta, you will spearhead a team of AI engineers focused on developing sophisticated agent-based AI applications. These applications involve multiple AI agents working in coordination under a central coordinator agent, collectively executing complex business tasks. Your leadership will drive innovation and effective implementation of enterprise-grade AI solutions tailored specifically for banking institutions. Responsibilities Designing and developing agentic AI applications. Architect, plan, and oversee the implementation of AI agent swarms that collaborate efficiently to solve complex problems. Apply deep knowledge of LLMs (Large Language Models) and SLMs (Smaller Language Models) to build robust, reliable, and intelligent AI agents through effective prompting techniques. Ensure adherence to essential enterprise AI techniques including grounding, guard railing, and stringent security standards required in banking environments. Identify and leverage existing AI models to create efficient and scalable solutions while exploring opportunities for custom model development for specialized use cases. Foster a culture of continuous learning and innovation within the team, keeping abreast of latest AI trends and technologies. Skills Required Prior experience developing AI agent-based systems or multi-agent coordination frameworks. Background in financial services or fintech applications, especially within banking contexts. Ability to lead research and development efforts around small-scale AI model creation, tailored specifically for niche business applications. You will lead the development of AI-driven applications, primarily through leveraging and orchestrating existing AI models. Focus on building numerous interconnected AI agents rather than standalone services, enabling sophisticated, scalable business logic. Occasionally, drive strategic investments in developing targeted AI models when specific business cases necessitate bespoke solutions. Experience and Qualifications Demonstrated passion and interest in developing AI-based applications. Proven experience in building or contributing significantly to AI applications or solutions. Extensive understanding of Large Language Models (LLMs), Smaller Language Models (SLMs), and practical experience in prompting strategies. Familiarity with agentic frameworks and protocols for creating coordinated AI agent swarms. Expertise in critical enterprise AI techniques such as grounding, guard railing, and comprehensive security practices suitable for financial institutions. Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 2 years focused on building and maintaining Conversational AI flows