Real-Time Pricing & AI Lead Software Engineer

nineDots.io; New York (NY); On-site; USD 250,000 - 500,000; Full time

Benefits offered by this job

Equity

Job summary

nineDots.io in New York City is seeking its first engineering hire to build a real-time pricing and decisioning platform. You’ll join two founders and own the core technology, shipping high-impact systems that drive revenue in hours.

You’ll turn AI into production, establish testing frameworks, and set engineering standards as the team scales. On-site five days/week with substantial equity upside on top of a base salary.

Qualifications

• 3–10 years of professional software engineering experience.
• Experience taking an ambiguous product from idea to production (founder/founding engineer preferred).
• Experience with high engineering bars in either large tech or hard problems.
• Designed, built and operated data-intensive production systems.
• Proficient in Python or able to move quickly to a Python-heavy environment.
• Platform, infrastructure or distributed-systems exposure.
• Data-driven decision making in fast-moving contexts.
• AI is part of your build with LLMs, agents and modern tooling.

Responsibilities

• Build and own the pricing engine, bidding infrastructure and data systems.
• Turn AI and model research into production systems that run continuously.
• Create experimentation and A/B testing frameworks around pricing decisions.
• Improve speed, throughput and reliability of bidding systems.
• Develop AI-powered tooling for triage and drift detection.
• Make architecture calls and set engineering standards as the team grows.
• Work closely with commercial side; your work can impact revenue within hours.

Skills

Python

Data-intensive systems

Distributed systems

Production AI

LLMs

Ownership

Hands-on engineering

Python heavy environment

Job description

nineDots.io in New York City is seeking its first engineering hire to build a real-time pricing and decisioning platform. You’ll join two founders and own the core technology, shipping high-impact systems that drive revenue in hours.

You’ll turn AI into production, establish testing frameworks, and set engineering standards as the team scales. On-site five days/week with substantial equity upside on top of a base salary.