At Variant Group, we are at the forefront of reimagining day-to-day challenges.

Our B2C SaaS products transform complex tasks — from creating standout resumes to generating legal documents — into simple, engaging user experiences.

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 now looking for a Python AI Engineer with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). 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.

Variant Products

resume.co Live since May 2023, ±1M MAU

pdf.net Live since Dec 2024, ±400k MAU

contracts.net Live since January 2023, ±100k MAU

mealplan.co – Summer 2025

More coming soon!

What You’ll Do

• Integrate hosted LLM APIs (e.g. OpenAI, Anthropic) + custom models to support intelligent in-product behavior.
• Build and fine-tune transformer models using PyTorch, HuggingFace
• Design and deploy retrieval-augmented generation (RAG) pipelines with vector databases (e.g., pgvector) and graph-based reasoning (e.g., Neo4j).
• Develop scalable inference systems using vLLM, speculative decoding, and optimized serving techniques.
• Build modular, production-grade pipelines for training, evaluation, and deployment.
• Collaborate closely with product, design, and full-stack teams to ship features that bring AI to end users.
• Own infrastructure around Docker, Cloud Run, and GCP, ensuring speed, reliability, and observability.

What You Bring

• Strong Python engineering background with clean, tested, and maintainable code.