Ai Engineer - Ii

About Zeta
Zeta is aNext-Gen Banking Techcompany that empowers banks and fintechs to launch banking products for the future. It was founded byBhavin Turakhiaand Ramki Gaddipati in ****.
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 over1,700+ employeesacross the US, EMEA, and Asia, with70%+ roles in R&D. Backed bySoftBank, Mastercard, and other investors, we raised$330M at a $2B valuationin ****.
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About the Role
As anAI 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 theLead AI Engineer, you'll contribute to developingagentic architectures— ecosystems of multiple specialized AI agents that collaborate to perform complex business operations like credit management, payments, and compliance workflows.
This role demands stronghands-on technical capabilityin prompt engineering, model orchestration, and applied AI development — combined with a keen understanding ofenterprise-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