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Senior Software Engineer – AI Platform Engineering (Founding Engineer Role, Equity Only)

💼 Full-time🗓 2026-06-24

Core

Architect and scale the AI backbone for an AI-powered Family OS, building multi-agent systems and RAG pipelines to help parents manage family life.

Role type

Senior Software Engineer (AI Platform Engineering)

Builds

Multi-agent systems, RAG pipelines, contextual memory systems, and scalable NestJS services for a family operating system.

Domain

Family wellness technology / Generative AI / AI Infrastructure

Deliverable

production ML models | infrastructure

Required skills

Multi-agent system design, RAG pipeline implementation, vector database management, TypeScript/Type safety, API design, asynchronous workflow management, model optimization

Preferred skills

Experience with OpenAI Agents SDK, LangChain, AutoGen, PostgreSQL, Redis, Next.js

Technologies

OpenAI Agents SDK, LangChain, AutoGen, PostgreSQL, pgvector, Redis, NestJS, Fastify, Drizzle ORM, BullMQ, Next.js, TypeScript, GPT-4o

Responsibilities

Design and implement multi-agent systems for scheduling, meal planning, and education; Build RAG pipelines with hybrid search; Develop contextual memory systems for user-specific insights; Design modular, scalable NestJS services; Build multi-tenant APIs and workspace logic; Manage async workflows with BullMQ; Develop core interfaces for the Launched low-code builder.

Seniority

Senior, hands-on IC

Rewrite
## About the role LaunchFamily is a mission-driven company that empowers families to take control of their children's growth, learning, and well-being through intelligent systems. We're building the world's first AI-powered Family OS. Parents juggle 50+ decisions a day, meal planning, homework help, emotional check-ins, and schedules. Most 'family apps' are just glorified to-do lists. We're building something different: an AI that actually understands your family's rhythm and proactively helps you stay ahead. We're looking for a Senior Software Engineer who can architect and scale the AI backbone behind this system, from retrieval-augmented generation (RAG) pipelines to multi-agent orchestration, and intelligent data flows that make our assistant truly personal. This is an equity-only opportunity during the beta phase as we prepare for seed funding. Our founders have led and co-founded ventures that collectively raised over $100M and have had successful exits. You'll be joining at the earliest stage to define the foundation of something transformative. ## What You'll Build ### AI Infrastructure (40%) - Design and implement multi-agent systems using the OpenAI Agents SDK for domains like scheduling, meal planning, education, and emotional guidance. - Build RAG pipelines with hybrid search (vector + structured), using PostgreSQL + pgvector, Redis, and Embeddings APIs to ground AI responses in trusted family data. - Develop contextual memory systems to store, retrieve, and rank user-specific insights (daily logs, family routines, past conversations). - Experiment with function calling, tool-use orchestration, and chain-of-thought prompting to create agents that reason and collaborate. - Optimize token usage, caching, and model routing to strike a balance between personalization, performance, and cost. ### Core platform Engineering (30%) - Design modular, scalable NestJS services (Fastify) with Drizzle ORM and PostgreSQL. - Build multi-tenant APIs and workspace logic to support apps built on Launched (our low-code builder). - Manage async workflows with BullMQ for real-time event processing, streaming responses, and queue-based pipelines. - Maintain end-to-end type safety with shared TypeScript models across backend and frontend. ### Frontend Portals (30%) - Develop core interfaces for Launched, enabling creators to train and deploy AI chatbots, tools, and apps using the same infrastructure that powers LaunchFamily. - Contribute to our Next.js-based assistant UI with real-time streaming, context management, and AI-driven visualizations. - Collaborate with product to prototype new AI-driven experiences, from proactive notifications to visual family insights. ## Tech Stack ### AI Layer - Agents SDK (core), LangChain / AutoGen (support) - RAG Stack: PostgreSQL + pgvector, Redis, OpenAI Embeddings - Model Integration: GPT-4o, custom fine-tuned models, retrieval interfaces - Evaluation & Testing: structured outputs, JSON schema validation, prompt benchmarking ### Core Platform - Backend: NestJS (Fastify)
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