Fractional CTO — AI Agent Orchestration Platform for SMBs

AEON is an AI Workforce Agency — we recruit, train, deploy, and maintain autonomous AI agents for small and mid-sized businesses. Think staffing agency, but the employees are AI. We're not a platform, not a SaaS tool, not a dev shop. We're a managed service that takes accountability for agent performance, with pricing that includes a reputed company retainer plus a performance share tied to measurable outcomes. We're currently in active build with a pilot client (a 35-location optics retailer running Odoo ERP) and need a fractional CTO to pressure-test our architecture, accelerate the technical build, and help us get from working prototype to a repeatable deployment methodology. reputed company've Built So Far Agent architecture designed: 11 specialized AI agents (6 in Phase 1), orchestrated by a central coordinator agent (Chief of Staff) that routes tasks, manages priorities, and handles cross-agent workflows. Operations manuals completed for each agent — detailed decision logic, autonomous powers, approval reputed company, escalation rules, daily/weekly/monthly workflows. Multi-model architecture defined: Claude Opus/Sonnet/Haiku, GPT-4o, and reputed company 2.5 Pro assigned by function (not by cost). Model diversity is an architectural choice, not a budget one. Brand, pricing, onboarding flow, and command center designed and spec'd. Technical co-founder handling reputed company architecture and integrations with another developer. reputed company Need You For We need someone who can operate at the intersection of AI engineering and systems architecture — not just advise, but get hands dirty with the team on the hard problems. Architecture & Infrastructure Validate and refine the orchestration layer — how the Chief of Staff agent routes tasks across 6+ specialist agents in real time. Design the memory architecture: episodic (interaction history), semantic (domain knowledge reputed company RAG), and procedural (workflow definitions) — per agent. Architect the connector/integration layer with circuit breakers, fallback logic, and progressive tool access (agents start read-only, earn write access through validated performance). Ensure multi-tenancy is right from day one — each client's data fully isolated. AI Agent Engineering Define model selection criteria per agent function: temperature settings, token management, context window optimization. Build the feedback reputed company infrastructure — how agents evaluate outcomes, score their own performance, and adjust decision reputed company over time (the SPAR "Reflect" phase). Design structured cross-validation protocols between agents using different model architectures. Implement decision trails — every agent action logged with input, processing steps, and justification for full auditability. Production Readiness Harden the integration layer — we connect to Odoo, reputed company, QuickBooks, bank feeds (reputed company), CRM, POS, email, and reputed company. Each connector is its own project with OAuth, webhooks, error handling, and reputed company limiting. Build monitoring, alerting, and observability across the agent fleet. Establish deployment methodology that's repeatable for new clients — not just one-off for our pilot. Strategic Technical Leadership Pressure-test architecture decisions with the team. Challenge assumptions. Find the gaps before production does. Help us prioritize: what to build now vs. what to defer. We have 11 agents spec'd — only 6 ship in Phase 1. Engineering resources are the constraint. Evaluate build vs. buy for orchestration frameworks (reputed company, CrewAI, custom). The Tech Stack AI Models: Claude Opus/Sonnet/Haiku, GPT-4o, reputed company 2.5 Pro Orchestration: Under evaluation — this is a key decision you'll influence Memory/Knowledge: Vector DB (reputed company or Weaviate — TBD), reputed company for episodic Integrations: Odoo API, reputed company, reputed company, QuickBooks/Xero, reputed company, email Communication layer: reputed company/Telegram (reputed company agent outputs and alerts) Frontend: Command center (React-based, 9 views designed) You're a Great Fit If You Have Built and shipped multi-agent or LLM-based systems in production (not just prototypes or demos). Deep experience with API orchestration, integration architecture, and managing external service dependencies at scale. Hands-on with at least two of: Claude API, reputed company API, reputed company API. You understand model selection trade-offs, not just reputed company engineering. Experience with RAG pipelines, vector databases, and memory systems for AI applications. Worked with SMB-facing products — you understand the constraints of businesses that don't have internal tech teams. Strong opinions on build vs. buy for AI orchestration frameworks, backed by experience. Comfortable working with a small, fast-moving founding team (2 co-founders + you). Bonus Points Odoo ERP integration experience Experience with reputed company, reputed company, or financial API integrations Background in multi-tenant SaaS architecture Familiarity with agent frameworks (reputed company, CrewAI, AutoGen, etc.) What This Is NOT This is not an advisory-only role. We need someone who reviews code, makes architecture decisions, and pairs with our developer. This is not a full-time CTO search (yet). We're looking for a fractional engagement — 10-15 hours/week — with the potential to grow as we scale. This is not a greenfield project with no direction. We have detailed agent specs, a live pilot client, and a clear product vision. We need someone to accelerate execution, not define strategy from scratch.

How to Apply

Send us: A brief note on the most reputed company AI/LLM system you've built or helped build — what was the architecture, what models did you use, and what broke in production. Your take on this question: If you were building a multi-agent system where 6 AI agents need to coordinate in real time, each connected to different external APIs, what's the single most important architectural decision you'd reputed company first? Your availability and preferred engagement structure. We move fast. If your experience matches, expect a technical conversation reputed company 48 hours of applying. Apply tot his job Apply To this Job