Novig
AI Automation Engineer
New York
Sponsorship not specified$200k-$230kDetected 89 days ago
CI/CDREST
About the role
- Continuously improve system performance, accuracy, and safety of AI-assisted workflows in production environments
- Be the person who shows the rest of the company what's possible with AI - running internal demos, writing up learnings, and lowering the barrier for teammates to use AI in their day-to-day work
- Our work is tied to live sports - that means potential nights, weekends, and pressure included.
Responsibilities
- This is the role for someone who sees AI as a multiplier and knows how to build the infrastructure that makes it work.
- You'll design the systems that let AI write, test, and ship code with minimal human intervention - and make sure those systems are airtight in production.
- Architect and develop advanced CI/CD workflows that support autonomous development loops
- Own end-to-end pipeline reliability, including deployment validation, observability, and feedback systems for AI-driven code iteration
- Collaborate cross-functionally with engineering, product, and operations teams to identify opportunities for AI-driven automation and tooling
- Novig is building America's #1 sports prediction market.
Compensation
- HSA + $1,080 annual company contribution
Benefits
- Meaningful equity for every employee, regardless of role
- 100% health premiums covered
- 99% dental & vision covered
- HSA + $1,080 annual company contribution
- $27/day lunch stipend when working from our NYC office
- $35/day dinner stipend when working from the NYC office after 6:30pm
- We're backed by some of Silicon Valley's top investors - Pantera, Forerunner, Lux, NFX, Paul Graham, and Joe Montana - who have collectively invested over $100M behind this vision.
Company info
- Our mission is to financialize and democratize sports trading - taking a closed system run by casinos and turning it into a fair, efficient, two-sided market where the power sits with users.
This listing is sourced directly from Novig's careers page and normalized into a canonical job model.