Senior AI Systems Engineer — LLM Orchestration & Multi-Agent (Spiritual App) - Contract to Hire

Remote, USA Full-time Posted 2026-05-04
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JOB DESCRIPTION

We are building a Spanish-first AI-powered spiritual companion app.

This is NOT a simple chatbot.

We are building a multi-layer AI system with strict guardrails, theological consistency, and dynamic response protocols.

We are looking for a senior AI systems engineer who understands LLM architecture, not just prompt writing.

Scope of Work

You will design and implement the AI system that powers the app, including:

  • Multi-layer prompt architecture (core + companion + situational protocols)
  • Intelligent routing system (detect user intent and load correct protocols)
  • Guardrails system (theological, ethical, safety)
  • Response validation layer (post-generation filtering / correction)
  • Multi-companion structure (different personalities + functions)
  • Context handling (short-term memory + conversation flow)
  • Voice + text integration (speech-to-text + text-to-speech ready)

⚠️ Important

This is a logic-driven AI system, not a UI task.

You are NOT just calling OpenAI.

You are designing how the system thinks, routes, and responds.

✅ Requirements

  • Strong experience with OpenAI API (or similar LLMs)
  • Experience building AI-powered applications (not prototypes only)
  • Understanding of prompt architecture and system design
  • Backend thinking (Python preferred)
  • Experience with:
  • LLM orchestration
  • AI agents or multi-step flows
  • Context management
  • Ability to translate complex logic into stable systems

Not a fit if:

  • You only have frontend / Flutter experience
  • You only “use ChatGPT”
  • You have not built real AI systems in production

Ideal Candidate

  • Thinks in systems, not features
  • Has built LLM-based apps end-to-end
  • Understands trade-offs (cost, latency, quality)
  • Can challenge ideas and improve architecture

To Apply

Please answer:

1. Describe an AI system you built (not just prompts — full architecture)

2. How would you design a system that uses different prompts depending on user intent?

3. How would you prevent incorrect or unsafe AI responses?

4. Have you worked with multi-agent or multi-layer AI systems?

Goal

We are building a high-quality, scalable product — not an experiment.

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