AI/ML Engineer

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.