AI Engineer

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.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.