GenAI Engineer

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GenAI Engineer

We are looking for a GenAI Engineer to help design and scale enterprise-grade LLM and Agentic AI systems embedded into our SaaS platform.

We are open to exceptional talent across profiles — from hands-on GenAI architects to AI technical leaders.

In this role, you will define and lead the architecture for Large Language Model (LLM) powered and Agentic AI systems embedded into our enterprise SaaS platform.

You will design scalable, secure, enterprise-grade GenAI systems that:

Operate autonomously within defined guardrails
Interact with enterprise data securely
Orchestrate multi-step workflows
Deliver measurable business outcomes for Fortune 1000 procurement teams

This role requires deep expertise in LLMs, AI architecture, distributed systems, and enterprise security.

Who We’re Looking For:

We are looking for someone with 2+ years in software architecture / AI engineering

Who has Strong hands-on expertise in:
- LLM orchestration frameworks
- RAG architectures
- Vector databases
- Prompt engineering & evaluation
- Multi-agent systems
Experience designing scalable SaaS architectures (AWS / Azure / GCP)
Deep understanding of enterprise data security and compliance
Strong system design & distributed systems experience
Proficiency in Python and modern AI frameworks

Why This Role is Perfect for You

Zycus builds enterprise-grade procurement and spend-management solutions used by large global customers. As a GenAI Engineer you will work on complex:

Enterprise-Scale AI Impact

Your work will power mission-critical systems used by Fortune 1000 companies globally.

Real Agentic AI

We are building autonomous AI systems embedded deeply into enterprise workflows — not just copilots.

Production-Grade Complexity

Multi-tenant SaaS, high data sensitivity, compliance requirements, and measurable business outcomes.

AI-First Strategy

AI is central to our roadmap and executive vision.

Talk To LUMI and take our Virtual Interview to advance you application to the next stage of the interview process

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Dos

Please ensure to wrap up the call in 30 minutes.
Speak Clearly and at Your Own Pace: Take your time—there’s no rush! Clear and steady speech helps Lumi understand you better.
Keep It Simple and to the Point: Short, straightforward answers make for smooth communication.
Answer in Complete Sentences: This provides more context, making it easier for Lumi to catch all the important details.
Listen to Each Question Carefully: Feel free to pause and think before answering to ensure you’re addressing exactly what’s asked.
Bring Your Professional Best: Treat this just like a friendly phone interview—it’s part of your hiring journey.
Ask if You’re Unsure: If there’s a long silence, don’t hesitate to ask if Lumi can hear you okay.

Don’ts

Try to Minimize Background Noise: Find a quiet spot if you can. It’ll help Lumi catch every word you say.
Wait for LUMI to Finish Speaking: Let Lumi complete its question before you start your answer—it makes the conversation smoother!
Skip the Slang or Abbreviations: Using standard language keeps things clear and avoids confusion.
Avoid Over-Explaining: Short and sweet answers help keep the conversation flowing.
Limit Fillers and Vocalizations: Try to avoid using too many “um”s or “uh”s; it helps keep the interaction smooth.

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GenAI Engineer

Who We’re Looking For: