AI Engineer

About Conduit
Conduit is the platform for building conversational AI agents focused on hospitality. Our AI agents automate inbound and outbound conversational workflows for to increase conversions, reduce costs, and improve customer satisfaction.

Our Mission

To maximize conversational automation for high touch businesses.

What makes Conduit unique

1. We're an AI native help desk, not just a headless plugin. We’ve built inbox that human agents use every day. Our inbox was carefully designed to help teams increase automation over time.
2. Our users operate alongside AI, then automate themselves. At Conduit we believe that automation is a continuous journey, and that requires teaching and managing your AI teammates. Our agent hub helps teams add SOPs, review suggestions, manage their knowledge base, and build complex workflows.
3. Omnichannel conversations are fully threaded. We operate on a contact-based model (vs ticket-based). Context across calls, SMS, email, web chat, maintained in one coherent thread for humans and AI agents.
4. Run reactive and proactive automation. Customer service teams can go beyond customer and trigger event-driven workflows from native app events and common integrations.
5. Workflows as tools. AI agents can use Zapier/n8n-style workflow automations to take action and achieve outcomes, for example: assign maintenance, text the vendor, confirm back to the resident, and close the loop.
6. Synchronous and asynchronous. Instant chat at the right time and flexible multi-step follow-ups when it’s needed.

Role: AI Engineer
We seek a motivated and ambitious AI Engineer with hands-on experience building production AI systems. You’ll work directly with Punn (CTO) and the engineering team to harden reliability, push down latency, evolve data models safely, and create paved roads that make every other team faster.

Your responsibilities include, and is not limited to:

1. Building frontier applied AI features – designing and implementing agentic systems that handle real-world, multi-step tasks.
2. Improving existing AI workflows – increasing visibility through robust monitoring, logging, and alerting.
3. Validation & Testing – introducing thorough integration tests, validation datasets, and performance benchmarks to ensure reliability.
4. Model & Data Pipeline Ownership – from integrating external data sources to fine-tuning large language models and integrating them into our platform.

You’ll have ownership over the entire agentic AI lifecycle, from design and implementation to deployment.

Who You Are

• You have experience with building and shipping AI systems at scale, ideally using modern LLM-based techniques.
• You thrive in a small, fast-moving startup environment, where you can take on significant responsibility.
• You care deeply about crafting solutions that solve real customer problems.
• You’re excited about working with a tight-knit team (both the CTO and fellow engineers) on cutting-edge AI.
• You have a track record of achievement and initiative, with the drive to see tough projects through to completion.

What You’ll Do

• End-to-End AI Development: Research and prototype advanced agentic AI, then turn prototypes into robust production services.
• Monitoring & Analytics: Implement metrics, dashboards, and alerting to track AI performance and spot issues early.
• Testing & Validation: Develop test frameworks (unit, integration) and create validation datasets for continuous evaluation of AI workflows.
• Collaborative Architecture: Work closely with our backend engineers to integrate AI modules with the broader platform (Inbox, Workflows, Escalation Center, etc.).
• Scaling: Ensure our AI infrastructure is built to handle growing data volumes and real-time interactions with minimal latency.

Compensation & Benefits

• Competitive Salary: 150-250k base compensation.
• Opportunity to own critical AI infrastructure in a fast-growing product.
• High-impact role with day-one ownership and the freedom to influence both architecture and product direction.