Junior AI Platform Engineer - Supernal
Infinity
Location
Remote
Employment Type
Full time
Location Type
Remote
Department
Supernal
Compensation
- $30.00 per hour • All contractors have a three month trial period at $20/hr
Location: Remote (Global)
Company: Supernal
Type: Contractor
Rate: $30/h
About Supernal
At Supernal, we help SMBs hire their first AI employee. Our AI teammates are built with intelligent, agentic workflows and deployed on our proprietary platform, with orchestration powered by N8n. We don’t build tools—we deliver working, value-generating AI Employees.
Our AI Platform Engineers, known internally as Masons, are the builders behind these systems. Now, we’re looking for a Senior Mason to help lead this craft.
The Role
As a Junior AI Platform Engineer, you’ll be on the frontlines of our most critical client implementations. You’ll design and build intelligent agentic workflows that power real business outcomes. But your role goes far beyond individual contribution.
This is a hands-on role. You’re not just reviewing PRs or sitting in meetings—you’re in the weeds, building systems, solving gnarly edge cases, and showing others how it’s done.
Responsibilities
Build advanced AI agent workflows on N8n and Supernal’s proprietary platform
Lead engineering delivery for our highest-priority customers
Own technical architecture decisions for agentic systems, including tool usage, RAG design, API orchestration, and task decomposition
Define, document, and evolve our engineering best practices
Review technical work for quality, scalability, and maintainability
Contribute to internal tooling and system improvements that accelerate agent deployment
You Might Be a Fit If You…
Have 4+ years of experience as a software engineer, automation engineer, or technical systems builder
Have deep experience with agentic architectures, workflow automation platforms (N8n, Zapier, Make), and APIs
Understand prompt engineering, function-calling, retrieval-augmented generation (RAG), and LLM orchestration
Are passionate about systems thinking and designing workflows that can scale
Are an elite debugger and systems optimizer—you can reason through edge cases, flakey agents, and API chaos
Can balance hands-on work with technical leadership
Are comfortable in a fast-paced, ambiguous startup environment and thrive under autonomy
Have a low-ego, high-integrity approach to team collaboration
What Success Looks Like
Supernal’s AI Employees are consistently high-performing, robust, and scalable
Our technical best practices are living, documented, and widely adopted
Engineering quality improves even as the team rapidly scales