Founding Engineer (Python, Sveltekit, AWS) - Overlap with US timezone

About TechNovaTime

Most engineering problems have a known solution. This one doesn't.

We're building digital replica employees. Agents that learn by watching a human work for weeks, extract the underlying logic, and then execute that exact process autonomously over their same screens, same files, at unlimited scale. A computer use agent with deep, learned knowledge of how a specific human finishes a specific job. We are selling labor, in the form of software.

The core challenge: go from the observations of a top performer to a deployable replica that generalizes their decision-making across novel situations inside arbitrary software. That's a machine learning problem, a systems problem, and a product problem simultaneously and none of the pieces are solved.

The founding team is three military trained, former MIT and Amazon engineers. We spent the last decade converting human labor into software, 10M hours automated for the DoD. Now we're applying that to healthcare administration: one of the most expensive, most broken operational systems in the US economy. In 2026 alone we've signed four major customers, including one of the largest health systems in the country. The demand is real and we're building against it in real time.

We're Techstars-backed and SBIR-funded. If you want to work at the frontier of agentic AI on infrastructure that has never been built, with a team that has shipped at scale in the hardest environments in the world — come build it with us.

Additional Context from the Team:

• The current product focuses on automating manual healthcare billing workflows, converting real-world human processes (captured via video) into scalable, AWS-based automations.
• The goal is to increase hospital revenue and operational efficiency by eliminating repetitive administrative work.
• The engineering team is currently small (4 hands-on engineers), operating in a highly execution-focused environment.
• The team is hiring with urgency and aims to onboard this role within the next two weeks.

Founding Engineer

You'll help build the core platform from the ground up: AI orchestration, computer-use workflows, cloud infrastructure, deployment systems, reliability tooling, and the product surfaces customers rely on every day. You'll make architecture decisions, own critical systems end to end, and work across the stack to turn messy operational reality into something elegant, measurable, and durable.

This is a high-leverage role for someone who wants broad ownership and real technical influence. You should be comfortable moving between product, infrastructure, and AI behavior, and you should care deeply about shipping cleanly, debugging carefully, and building systems that hold up under pressure.

Role Breakdown:

• ~60% Software Engineering: Building and maintaining backend systems and AWS infrastructure (including compute environments, system reliability, and compliance considerations)
• ~30% AI Automation Engineering: Designing and implementing automation workflows for legacy systems (RPA-style systems, computer vision pipelines, SQL/API integrations)
• ~10% Machine Learning: Supporting and contributing to core ML components that power decision-making and generalization

Tech Stack:

• Backend: Python
• Frontend: SvelteKit
• Infrastructure: AWS

Good fit if:

You want true ownership across product, infra, and AI.
You can code cleanly, debug deeply, and make good calls under pressure.
You care about reliability, speed, and real-world impact.
You want to work directly with top entrepreneurs and operators.

You’ll likely thrive here if you:

• Are comfortable working in high-ambiguity, fast-moving environments
• Have experience building production systems end-to-end
• Enjoy bridging infrastructure, automation, and applied AI
• Can balance speed of execution with system reliability and scalability