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Related skills

python fastapi langchain transformers vector databases

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 (L2) at Zeta, you will design, implement, and optimize intelligent, multi-agent AI systems that power next-generation banking experiences.

Working under the guidance of the Lead AI Engineer, you’ll contribute to developing agentic architectures — ecosystems of multiple specialized AI agents that collaborate to perform complex business operations like credit management, payments, and compliance workflows.

This role demands strong hands-on technical capability in prompt engineering, model orchestration, and applied AI development — combined with a keen understanding of enterprise-grade reliability, grounding, and security principles.

Responsibilities

  • Design, build, and deploy domain-specific AI agents using LLMs/SLMs for tasks like summarization, extraction, and dialogue.
  • Contribute to multi-agent orchestration and coordination via central controller agents.
  • Implement secure tool-calling pipelines integrating APIs, databases, and enterprise systems.
  • Apply prompt engineering, grounding, and evaluation techniques for reliable outputs.
  • Develop and integrate MCP clients/servers for customer and back-office AI assistants.
  • Collaborate with AI leads on architecture, modularization, and system integrations.
  • Build reusable agent templates, knowledge resources, and prompt libraries.
  • Implement guardrails, grounding, and compliance frameworks for safe model behavior.
  • Create benchmarks, tests, and evaluation scripts for performance and reliability.
  • Stay updated with LLM/agentic frameworks and share learnings to foster innovation.

    • Skills

  • Hands-on with multi-agent frameworks like AutoGen, CrewAI, or MCP.
  • Experience integrating AI systems in banking, fintech, or regulated domains.
  • Familiar with vector databases, retrieval pipelines, and knowledge graphs.
  • Knowledge of LLM evaluation methods such as LLM-as-a-judge and prompt tuning.
  • Experience deploying models on cloud AI platforms (AWS, Azure, or Vertex AI).

    • Experience and Qualifications

  • Bachelor’s/Master’s in CS, AI/ML, Data Science, or related field.
  • 2–4 years of experience building or integrating AI-driven applications.
  • Hands-on with LLMs/SLMs and frameworks like LangChain, Transformers, or FastAPI.
  • Strong in Python, prompt engineering, and model evaluation techniques.
  • Familiar with secure API design, PII protection, and Git-based collaboration.

    • 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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