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2 days ago
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Related skills

security llms prompting slms agent-based

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

Bhavin Turakhia 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. 20M+ 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

1,700+ employees across the US, EMEA, and Asia, with

70%+ roles in R&D. Backed by

SoftBank, Mastercard, and other investors, we raised

$330M at a $2B valuation in 2025.

Learn more @

www.zeta.tech,

careers.zeta.tech,

Linkedin,

Twitter

About the Role

As an AI Engineer Lead 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

  • Lead, mentor, and manage a team of AI Engineers in 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, guardrailing, 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.
  • 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.

    • Skills

  • 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.

    • 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, guardrailing, and comprehensive security practices suitable for financial institutions.

    • Equal Opportunity

  • Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success

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