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 designing, 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