Senior AI Engineer

📋 Description

• Architect and deploy autonomous AI agents and multi-agent workflows
• Design strict-source-following Retrieval-Augmented Generation (RAG) systems
• Implement guardrails, structured outputs, and validation layers
• Build scalable backend services with FastAPI
• Orchestrate agentic workflows using LangGraph
• Deploy and manage AI workloads within AWS or Azure

🎯 Requirements

• 5+ years of professional experience
• Experience deploying and managing AI workloads in AWS or Azure
• Deep technical understanding of LLM usage and orchestration beyond prompt engineering
• Strong expertise in Python AI ecosystem, specifically: FastAPI, LangGraph
• Proven experience building Complex RAG systems and Autonomous AI agents
• Experience building evaluation frameworks and iterating based on performance metrics

🎁 Benefits

• Competitive-pay compensation and ownership interest/equity
• Unlimited paid time off with minimum two weeks off per year
• Remote-friendly policy for US-based employees
• Company-provided MacBook and $600 home workspace stipend
• Annual company trip and mental health benefits with mindfulness/talk therapy