Founding / principal engineer. Give me an idea and I'll help turn it into a product people pay for. I've spent 30 years doing that, mostly at startups: Retek (joined at 26 people, grew past 800, acquired by Oracle) and Quantum Retail (11 people to 120+, reporting to the CEO). Most recently I was lead engineer on the rebuild of a payments platform that pays tens of thousands of gig workers every week, moving it from legacy Ruby to event-driven Go services.
For the past year I've been building an AI-native development practice. It's spec-driven development extended upstream to business intent, with multi-model orchestration where one vendor's model reviews another's work and an instruction layer that improves itself after every change. It raised my team's development capacity 3-4x. AI writes most of the code now. I bring the judgment it doesn't have: what enterprise-grade looks like, which corners an MVP can safely cut, and what will break in production.
Looking for: a founding or principal role at a well-funded startup, or at a profitable company with a small, startup-style AI team. Retail, commerce, payments, and vertical SaaS are home turf, but a good problem matters more to me than the domain.
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Go, Java, JavaScript/React, Ruby, Python, Kafka, Postgres, Cassandra, DynamoDB, Redis, event-driven microservices, multi-model AI agent orchestration, spec-driven development
Résumé/CV: https://www.linkedin.com/in/stevenbolson (full resume on request)
Email: [email protected]
Founding / principal engineer. Give me an idea and I'll help turn it into a product people pay for. I've spent 30 years doing that, mostly at startups: Retek (joined at 26 people, grew past 800, acquired by Oracle) and Quantum Retail (11 people to 120+, reporting to the CEO). Most recently I was lead engineer on the rebuild of a payments platform that pays tens of thousands of gig workers every week, moving it from legacy Ruby to event-driven Go services.
For the past year I've been building an AI-native development practice. It's spec-driven development extended upstream to business intent, with multi-model orchestration where one vendor's model reviews another's work and an instruction layer that improves itself after every change. It raised my team's development capacity 3-4x. AI writes most of the code now. I bring the judgment it doesn't have: what enterprise-grade looks like, which corners an MVP can safely cut, and what will break in production.
Looking for: a founding or principal role at a well-funded startup, or at a profitable company with a small, startup-style AI team. Retail, commerce, payments, and vertical SaaS are home turf, but a good problem matters more to me than the domain.