CTO / Technical Cofounder — AIspire360

## About the role You'll own: - Platform architecture — the multi-agent orchestration system, knowledge graph, and integration layer - Founding engineering team — hire the first 3-5 engineers, set engineering culture - Product technical roadmap — what we build, in what order, and why - Compliance and security infrastructure — SOC 2, HIPAA, BAAs, the stuff that makes healthcare AI real You'll work directly with the CEO (20+ years building sales orgs, deep healthcare networks) and early clinical advisors (practicing psychiatrists and addiction medicine specialists). ## Requirements - You've built and shipped multi-agent systems, RAG pipelines, or clinical AI products before - You've been technical leader or founding engineer at a startup (not just at FAANG) - You're comfortable writing code in year one — at seed stage, you are the engineering team - You know healthcare is different: compliance isn't optional, clinical accuracy is life-or-death, and EHR integrations are hell ## Tech stack - Backend: Python, FastAPI, PostgreSQL, Redis - AI/ML: OpenAI / Anthropic APIs, LangChain / LlamaIndex, vector DBs (Pinecot / Weaviate / pgvector) - Integrations: FHIR APIs, HL7, Epic/Athena/Cerner connectors - Infrastructure: AWS or GCP, Kubernetes, Terraform - Compliance: SOC 2 Type II, HIPAA, encrypted at rest + in transit Not dogmatic on the stack — if you have strong opinions on better tools, we're open. ## Traction - $1.8M projected ARR with first few customers signed and piloting - $3.5M seed round looking for a lead investor and strategic angel investors - Focused vertical: behavioral health and weight loss (high-volume, underserved, longitudinal care workflows) ## The technical problem This is a hard multi-agent orchestration challenge: - Agent coordination layer — four specialized LLMs that share context without stepping on each other - Clinical knowledge graph — vector embeddings + structured EHR data + longitudinal patient memory - FHIR/EHR integration — bidirectional sync with Epic, Athena, Cerner, plus the long tail of practice management systems - Real-time clinical decision support — flagging crisis signals, drug interactions, care gaps during live conversations - SOC 2 Type II + HIPAA compliance — from day one, not bolted on later We're not building CRUD. We're building the AI infrastructure layer for outpatient care. ## What we offer - Be part of building the AI infrastructure layer for outpatient care - Work directly with the CEO and early clinical advisors - Help shape the product technical roadmap - Build and ship multi-agent systems and clinical AI products - Own platform architecture and compliance infrastructure - Work in a fast-paced, seed-stage environment ## About the company Clinical AI tools in healthcare are broken. Practices use an AI scribe that doesn't talk to their AI receptionist. A mental health companion that doesn't know what happened in the last visit. A care coach that can't see the chart. Every tool captures data and traps it. Clinicians end up with five tabs, five logins, and zero clinical continuity. We're building the opposite: four specialized agents on one shared brain. Aria Call Agent, Aria Medical Scribe, Aria Mind, Aria Care What Voice learns, Scribe knows. What Mind tracks, Care responds to. That connective tissue — the shared knowledge graph underneath — is what we're really building. It's the moat.