Senior AI Python Engineer
Core
Design, develop, and deploy scalable AI pipelines and intelligent systems, bridging research and production to solve complex business problems.
Role type
Senior IC AI Python Engineer
Builds
Production-ready AI services, LLM integrations, and scalable inference pipelines
Domain
Artificial Intelligence / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, JAX, scikit-learn, transformers, LangChain, LlamaIndex, NumPy, Pandas, Polars, SQL, FastAPI, Docker, Kubernetes, AWS, GCP, Azure, MLOps tools
Preferred skills
LLM fine-tuning (LoRA, QLoRA), quantization, vector databases, real-time inference, open-source contributions
Technologies
ONNX, TensorRT, vLLM, Jupyter, Ray Serve, TorchServe, BentoML, MLflow, Weights & Biases, Kubeflow, TFX, GitHub Actions, GitLab CI, Jenkins, Pinecone, Weaviate, Milvus, pgvector
Responsibilities
Architect and implement production-ready AI services including data preprocessing, model training, inference pipelines, and APIs; Lead end-to-end model development from prototyping to deployment and monitoring; Integrate and fine-tune LLMs for tasks like RAG and agents; Profile and optimize Python code and model inference latency; Work with large-scale datasets for cleaning and feature engineering; Deploy and maintain models on cloud infrastructure using containers and serverless architectures; Mentor junior engineers and promote best practices
Seniority
Senior, hands-on IC