Senior AI Engineer

Responsibilities

• 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 using FastAPI
• Orchestrate agentic workflows using LangGraph
• Deploy and manage AI workloads within AWS or Azure
• Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability
• Embed privacy-by-design principles across the AI stack

Requirements

• 5+ years of professional experience
• Experience deploying and managing AI workloads in AWS or Azure
• Deep technical understanding of LLM usage and orchestration
• Strong expertise in Python AI ecosystem (FastAPI, LangGraph)
• Proven experience building complex RAG systems and autonomous AI agents
• Experience building evaluation frameworks and iterating based on performance metrics

Preferred Qualifications

• Experience with Knowledge Graphs to enhance RAG precision
• Familiarity with Privacy-Enhancing Technologies (PETs)
• Experience with data anonymization techniques
• Background in compliance-heavy or regulated environments

Benefits

• Competitive compensation and equity
• Unlimited PTO with a minimum two-week requirement
• Paid parental leave
• 100% sponsored medical, dental, and vision premiums for individuals
• Fully remote work environment
• Home office stipend and MacBook
• Annual company trip
• Mental health benefits