Middle AI/Python Engineer 2
Core
Production engineer building and deploying LLM/VLM applications for document processing and structured data extraction.
Role type
Senior IC Python/ML engineer (LLM/VLM)
Builds
Production-grade LLM/VLM inference and fine-tuning services
Domain
AI/ML, Document Intelligence, Computer Vision
Deliverable
production ML models
Required skills
Python (FastAPI, async), PostgreSQL, Celery/RabbitMQ/SQS, Docker, LLM/VLM production experience, Open-weight VLMs (Qwen, InternVL, Llama Vision, Pixtral), JSON-schema output, constrained decoding, LoRA/QLoRA/PEFT fine-tuning, vLLM/SGLang/Triton deployment, quantization (AWQ/GPTQ/FP8), GPU sizing
Preferred skills
Classical CV (OpenCV, DocLayout, Surya, PaddleOCR, Tesseract, YOLO), Agentic frameworks (LangGraph), RAG, vector databases, MLflow/W&B, CI/CD for models, presales/estimation
Technologies
FastAPI, PostgreSQL, Celery, RabbitMQ, SQS, Docker, Qwen2.5-VL, Qwen3-VL, InternVL, Llama Vision, Pixtral, vLLM, SGLang, Triton, AWQ, GPTQ, FP8, LangGraph, MLflow, W&B
Responsibilities
Develop production Python services for LLM/VLM inference and fine-tuning; Implement structured extraction pipelines with JSON-schema output and constrained decoding; Optimize model deployment (quantization, batching, KV cache) against SLA and budget; Manage GPU resources and infrastructure for document workloads
Seniority
Mid-Senior, hands-on IC
