We're hiring for a well-funded Silicon Valley AI startup led by two seasoned Silicon Valley entrepreneurs and executives who have scaled startups from inception to IPO, led successful exits to Fortune 500 companies, and tripled the valuation of publicly traded firms in record time

They are building next-generation personalization at the intersection of web apps and modern AI. They aim to create seamless, magical experiences through services consumers already love.

About the Role

Join the core team as a foundational Senior Applied LLM Engineer. You'll work directly with founders to design, build, and scale production ML systems powering real-world applications. This is true 0→1 ownership—solving hard problems with technical judgment and pragmatism.

What you'll do

Build production ML systems: pipelines, low-latency inference, RAG
Fine-tune/train LLMs (LLaMA, Mistral, T5) using LoRA/QLoRA, instruction tuning
Create parsing/extraction models for HTML/structured data where general LLMs struggle
Own full ML lifecycle: data → evaluate → deploy → optimize
Make smart calls on fine-tuning vs RAG vs agents vs non-ML solutions
Partner with product/engineering to ship features and mentor juniors

What we're looking for

10+ years ML/applied AI experience
Production ML deployment (PyTorch/TensorFlow)
Hands-on LLM work: fine-tuning, RAG, agent workflows
Strong judgment: ML vs simpler solutions
Python fluency + modern ML infra (feature stores, vector DBs)
Startup comfort: ambiguity, end-to-end ownership

Nice to have

Domain-specific model training
Personalization/search/recommendation systems
Early-stage startup experience
Privacy-sensitive data work

Why join

Join the core technical team at an early-stage, well-funded AI company.
Work directly with experienced founders and top-tier investors.
Solve meaningful, high-impact problems with real-world applications.
Enjoy high ownership, rapid growth, and meaningful equity upside.

Interested candidates can write to subiksha.devaraj@qrata.ai as well!

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Senior ML Engineer