Senior AI Engineer – Conversational Agents & Workflow Orchestration

We are looking for a Senior AI Engineer to take ownership of an existing production conversational agent used to manage operational workflows (mail handling, forwarding, scanning, compliance, etc.).

This is not a greenfield project. The agent already exists and is deployed. The role is to understand, stabilize, improve, and extend the current system, including logic design, conversational flows, and execution reliability.

You will work closely with the founder, who has already defined much of the business logic, gate requirements, and intent taxonomy. Your role is to turn that into a robust, scalable, production-ready agent.

What You’ll Be Responsible For

Conversational Agent Ownership

• Take over an existing LLM-powered agent built with FastAPI + OpenAI (GPT) and Claude
• Fully understand the current architecture, datasets, gate logic, and failure cases
• Own the agent end-to-end: intent → gate → path → execution → logging

Agent Logic & Orchestration

• Implement and maintain gate-based workflows (state machine style)
• Correctly handle alternative satisfaction paths (Path A / B / C… are alternatives, not steps)
• Implement dynamic routing / branching when the next step depends on user intent
• Ensure the agent always asks the correct minimal follow-up question
• Prevent repeated questions, meta-prompt leakage, and logic loops

Prompt & Dataset Engineering

• Improve and maintain:
• system / master prompts
• judge prompts
• follow-up (ask) prompts
• Work with structured datasets (Excel/CSV) defining:
• intents
• gate order
• satisfaction paths
• follow-up templates
• Keep datasets and code perfectly aligned

Reliability & Debugging

• Analyze agent logs and trace failures
• Fix cases where the agent:
• selects the wrong gate
• ignores provided information
• asks off-topic or repeated questions
• Add guardrails and validation to prevent regressions

**Collab