Principal Full Stack Engineer / Fractional CTO for AI Data and Media Platform

Summary We are seeking a Principal Full Stack Engineer with extensive experience to develop and own core features for an AI-driven data and media platform, focusing on backend, frontend, data workflows, and system design.

General Information The platform integrates data ingestion pipelines, graph workflows, LLM-driven agent chains, media generation, and copilot experiences. The environment is early-stage, emphasizing rapid iteration, collaboration, and high engineering standards.

Tasks and Deliverables

• Develop and deploy production SaaS features including agent systems, GraphRAG, DAG visualizations, and data trees
• Integrate AI and media tools such as Claude Sonnet, FAL.ai, and Remotion
• Lead frontend development using React, Vite, TypeScript, TanStack Router/Query, Tailwind, and shadcn/ui
• Design backend architecture with Python, FastAPI, CopilotKit, and PydanticAI
• Model data and graph workflows with Neo4j and PostgreSQL
• Build APIs and integrations for agent workflows, AI generation, and DAG control
• Implement data ingestion pipelines for formats like GEDCOM, images, and PDFs, managing data variability
• Architect and develop graph visualization interactions with GoJS
• Enhance system reliability, observability, and performance across the stack
• Make technical decisions, simplify system complexity, and establish engineering standards
• Support future features including OCR, multi-agent pipelines, and structured data parsing
• Deliverables include ingestion pipelines for unified searches, metadata parsing, deduplication, auto-tagging, and verification engines for confidence scoring, duplicate detection, conflict flagging, and report generation within the copilot interface

Required Experience

• Required: 10+ years of full-stack software engineering experience with ownership of distributed or multi-service systems
• Required: Proven experience deg, running, and managing multi-agent AI systems or agent swarms (e.g. CrewAI, LangGraph, AutoGen, or equivalent)
• Required: Strong proficiency in Python, FastAPI, and PydanticAI for backend development
• Required: Strong proficiency in React, TypeScript, Vite, TanStack Router/Query, Tailwind, and shadcn/ui for frontend development
• Required: Strong experience with graph data models, Neo4j, and PostgreSQL performance optimization
• Required: Experience building ETL/ingestion pipelines handling messy or inconsistent data
• Required: Proven ability to design agent-driven or LLM-powered workflows (Claude, CopilotKit, or equivalent)
• Required: Experience with AI/ML integrations and media generation tools (e.g. FAL.ai, Remotion, or equivalent)
• Required: Experience with AWS cloud infrastructure (Lambda, S3)
• Required: Ability to simplify complex UX and data flows for end-users
• Required: Strong judgment around system boundaries, interfaces, and maintainability
• Nice to have: Experience with graph visualization libraries (GoJS) and GEDCOM or genealogy data formats