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:

• :pdf:pdf.net — 30 members
• :resume: resume.co, resumetemplates.net & cv.co — 15 members
• :mealplan_icon: mealplan.co — 5 members
• 👑 and many more

Off-site Hackathon in Istanbul, November’25

Job

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.

What You’ll Do

• Work on document intelligence problems: OCR, structured extraction, chunking, layout-aware parsing, and PDF-to-schema workflows.
• Design and ship RAG pipelines using vector databases, hybrid retrieval, reranking, and structured context assembly.
• Integrate hosted LLM APIs (OpenAI, Anthropic) and, where needed, smaller self-hosted models into product features.
• Build and fine-tune transformer models for classification, extraction, ranking, and generation tasks.
• Build scalable inference services using vLLM, batching, streaming, caching, and other latency/cost optimizations.
• Implement production pipelines for training, evaluation, prompt/version management, and deployment.