Middle AI/Python Engineer 2
Posted
Summary
Build production document-extraction systems powered by vision-language models: Python/FastAPI services with PostgreSQL and queues, fine-tuning open-weight VLMs (LoRA/QLoRA), and serving them at scale with vLLM/Triton on GPU budgets. Remote from anywhere, or hybrid from offices in Kyiv, Lviv, or Warsaw.
At Geniusee, we help businesses thrive through technology partnerships and strengthen the engineering community by sharing knowledge and creating opportunities 🙌
We live by our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, and Result-Driven Mindset. Here, you’ll find a safe, inclusive, and supportive environment where your voice is heard, and feedback is welcome 🤗
Whether you want to work from home or from our offices in Kyiv / Lviv / Warsaw with stable electricity and Wi-Fi, we’ve got you covered.
Join us and make an impact 💜
Requirements:
Nice to have:
Soft skills:
What you will get:
Career growth & projects
We live by our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, and Result-Driven Mindset. Here, you’ll find a safe, inclusive, and supportive environment where your voice is heard, and feedback is welcome 🤗
Whether you want to work from home or from our offices in Kyiv / Lviv / Warsaw with stable electricity and Wi-Fi, we’ve got you covered.
Join us and make an impact 💜
Requirements:
- 4+ years of production Python (not notebooks): FastAPI/async, PostgreSQL, queues (Celery / RabbitMQ / SQS), Docker
- 2+ years with LLMs/VLMs in production, not side projects
- Hands-on with open-weight VLMs: Qwen2.5-VL / Qwen3-VL, InternVL, Llama Vision, Pixtral — understands their actual strengths and failure modes rather than having just read about them
- Structured extraction: JSON-schema output, constrained decoding, document workloads (scans, PDFs, forms), post-processing and validation
- Fine-tuning: LoRA / QLoRA, PEFT
- Deployment and serving: vLLM or SGLang / Triton, quantization (AWQ / GPTQ / FP8), batching, KV cache, sizing GPUs against an SLA and a budget
Nice to have:
- Classical CV: OpenCV, layout detection (DocLayout, Surya), PaddleOCR / Tesseract, YOLO
- Agentic frameworks (LangGraph), RAG, vector databases
- MLOps: MLflow / W&B, CI/CD for models
- Presales or estimation experience
Soft skills:
- English level: Upper-Intermediate (B2) or higher
- Self-directed
- Comfortable working from ambiguous requirements
What you will get:
Career growth & projects
- Competitive salary based on your skills and experience, and a benefits package.
- Regular performance appraisals to support your career development.
- Professional development support: online courses, certifications, and study compensation (including English courses).
- A modern tech stack across challenging, long-term projects.
- Paid vacation (18 working days), public holidays (11 days), and sick leave (15 days).
- VIP medical insurance or sports coverage.
- Remote work from anywhere in the world or in one of our offices in Kyiv, Lviv, or Warsaw.
- Necessary equipment to perform your work.
- A collaborative and open culture where contributions are recognized.
- Regular corporate online & offline activities.
- Geniusee Charity Fund, making a difference beyond tech.
