AI/ML Engineer - Production AI & LLM Systems
Core
Design, develop, and deploy production-ready AI systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic workflows for real-world business applications.
Role type
Senior IC AI/ML Engineer (Production LLM Systems)
Builds
Scalable, reliable AI technologies and production-ready LLM pipelines
Domain
Artificial Intelligence / Large Language Models / Software Engineering
Deliverable
production ML models
Required skills
LLM fine-tuning, RAG pipeline development, agentic AI workflows, model training (PyTorch/Keras), API development (FastAPI), vector databases, cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD, SQL
Preferred skills
LoRA fine-tuning, reinforcement learning methods, LangGraph/LangChain, open-source contributions, model-serving infrastructure
Technologies
PyTorch, Keras, FastAPI, LangGraph, LangChain, Docker, Kubernetes, AWS, GCP, Azure, SQL
Responsibilities
Design and deploy production AI systems; select models balancing accuracy, latency, and cost; train and optimize ML models; research and benchmark emerging AI techniques; develop inference pipelines and backend integrations; monitor performance metrics; debug and optimize deployed systems; collaborate with engineering and product teams; document architecture and processes; translate research findings into code.
Seniority
Senior, hands-on IC