Description

Must-Have Skills

5+ years of U.S. professional experience.

Hands-on experience building and deploying GenAI/LLM solutions to production.

Experience with Agentic AI, including LangChain, LangGraph, agent workflows, tool calling, and orchestration.

Strong knowledge of RAG, embeddings, and vector databases.

Strong Python skills for AI services, APIs, and backend development.

Experience with LLM evaluation and model selection, including accuracy, performance, cost, and latency.

Strong AI/ML architecture skills with experience designing scalable, production-ready systems.

Cloud experience: GCP/Vertex AI preferred; AWS or Azure also accepted.

Strong backend/API engineering experience.

Experience with Document Intelligence or Conversational/Agentic AI is highly preferred.

Excellent communication and interview skills.

Interview Focus

Candidates should be able to clearly explain:

Production AI/GenAI projects

AI architecture and design decisions

RAG pipelines

Agentic AI and tool calling

LLM/model selection

Deployment and production challenges

Python and backend development

Technical round may include: Python, LLM tools, chatbot/RAG implementation, and AI system design

Key Skills

Education

Any Graduate