Python Developer for AI Prototype (LLM + State Comparison, Short Project)

Python Developer for AI Prototype (LLM + State Comparison, Short Project) ________________________________________ Description I’m looking for a developer to help build a lightweight AI prototype using OpenAI or Anthropic APIs. This is NOT a full product build. This is a focused prototype to test a specific idea. ________________________________________ Project Goal Build a simple Python-based system that: 1.Runs the same LLM task multiple times. 2. Captures outputs and any intermediate state (memory/logs). 3. Compares differences between runs. 4. Classifies differences into simple categories: o Stable o Boundary o Violation ________________________________________ What This Means Think:

• Run the same prompt 5–10 times.
• Log results.
• Detect where outputs or stored data differ.
• Label those differences.

That is it. ________________________________________ Technical Requirements Must have:

• Python
• Experience with OpenAI API or Anthropic API
• Ability to build simple, clean scripts (no over-engineering)

Nice to have:

• LangChain or similar frameworks.
• Streamlit (for simple UI/dashboard).
• Experience with logging or comparing outputs.

________________________________________ Important Constraints This should be:

• Lightweight.
• fast to build.
• easy to understand.

Please DO NOT:

• Design complex architectures.
• build full systems.
• over-engineer.

________________________________________ Deliverables

• Python script or small app.
• Ability to run repeated LLM tasks.
• Stored logs of runs (JSON or similar).
• Basic comparison logic between runs.
• Simple classification output.

________________________________________ Timeline

• 3–7 days initial build
• Max 1–2 weeks total

________________________________________ Engagement Style

• Fixed-price or hourly (open to discussion)
• Will start with a small paid test task before full project

________________________________________ Screening Question (Required) Please answer this: If you needed to run the same LLM task multiple times and compare outputs/state between runs, how would you build it quickly? ________________________________________ Who This Is For Ideal candidate:

• Builds fast prototypes.
• Comfortable with LLM APIs.
• Prefers simple solutions over complex systems.

________________________________________ Bonus If this goes well, there may be follow-on work. Apply tot his job Apply To this Job