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

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.

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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)

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⚠️ 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.

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✅ 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

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Not a fit if:

• You only have frontend / Flutter experience

• You only “use ChatGPT”

• You have not built real AI systems in production

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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

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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?

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Goal

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

Apply Now

Apply Now