AI/ML Engineer

Overview: AI/ML Engineer Location: Silicon Valley (Onsite) | Experience: 3-5 years | Visa Sponsorship: No What you'll do • Build and maintain production-grade LLM pipelines and agentic workflows. • Design and optimize RAG architectures using vector databases (Pinecone, FAISS, Weaviate) at scale. • Implement agentic systems using LangGraph, LlamaIndex, or equivalent: tool use, multi- agent coordination, and reasoning loops. • Own prompt engineering, model versioning, evaluation (RAGAS, DeepEval), and LLMOps instrumentation. • Integrate AI features into large-scale data pipelines; maintain observability and guardrailsin production. What we require • BS/MS in Computer Science, Machine Learning, or related field. • 3-5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production. • Strong Python; PyTorch or Hugging Face Transformers; AWS or GCP; Docker/Kubernetes. • Portfolio of shipped AI work required - agentic pipelines, RAG systems, or fine-tuned models.