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Variant Group
6 months ago
60,000 – 132,000 USD
per year
Grade
Senior
Work format
Remote
Employment
Full-time
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
At Variant Group, we build B2C SaaS products that millions of people use every day — from résumé builders to legal document generators. We turn complex challenges into simple, accessible solutions.
Variant Group Teams:
Off-site Hackathon in Istanbul, November’25
pdf.net is the fastest-growing product in our portfolio. Thanks to bold product breakthroughs, it already serves hundreds of thousands of users every month, and is on track for even greater growth.
We’re looking for a Senior Applied AI Engineer to build production-grade AI systems for document workflows at a massive scale. You will design and ship agentic, multimodal, evaluation-driven product features across extraction, reasoning, generation, and orchestration — owning everything from architecture and experimentation to latency, cost, reliability, and user impact.
This is a hybrid role that blends custom model development with LLM API integration to ship intelligent, production-ready features. You’ll work across the full lifecycle — from preparing training data and fine-tuning models, to designing retrieval pipelines and deploying performant inference systems in the cloud.
At Variant Group, we build B2C SaaS products that millions of people use every day — from résumé builders to legal document generators. We turn complex challenges into simple, accessible solutions.
Variant Group Teams:
Off-site Hackathon in Istanbul, November’25
pdf.net is the fastest-growing product in our portfolio. Thanks to bold product breakthroughs, it already serves hundreds of thousands of users every month, and is on track for even greater growth.
We’re looking for a Senior Applied AI Engineer to build production-grade AI systems for document workflows at a massive scale. You will design and ship agentic, multimodal, evaluation-driven product features across extraction, reasoning, generation, and orchestration — owning everything from architecture and experimentation to latency, cost, reliability, and user impact.
This is a hybrid role that blends custom model development with LLM API integration to ship intelligent, production-ready features. You’ll work across the full lifecycle — from preparing training data and fine-tuning models, to designing retrieval pipelines and deploying performant inference systems in the cloud.
Submit via Google Forms (5-8 mins). After a successful resume review, you'll be invited for an interview. If needed, we may ask you to complete a short test assignment (2–4 hours maximum).
We compare skills, grade, work format and salary
Most often 124,000 to 168,000
