Founding Engineer at Appnigma AI
Indexed description
The next step is to speak to Jack.
Job Title
Founding Engineer (Platform)
Salary
Not Disclosed
Company Description
Appnigma AI is an early-stage, founder-led platform enabling ISVs and product teams to build complex Salesforce and HubSpot managed packages using production-grade AI agents.
Job Description
Join Appnigma AI as a Founding Engineer to lead our platform’s core architecture. You will own everything from AWS infrastructure and multi-tenant security to LLM agent runtimes. This is a high-autonomy role for a distributed systems expert who thrives in "founder-mode," shipping mission-critical code without the need for extensive ticket queues or rituals.
Location
Remote
Why this role is remarkable
- True founding influence: Work as a technical peer to the founders, owning major workstreams like self-serve shared infrastructure and encryption-at-rest design without needing a second opinion.
- Cutting-edge AI at scale: Ship production LLM agents using tool-use loops and sandboxed execution, moving beyond simple RAG demos into real agentic workflows using the Claude Agent SDK.
- High-stakes engineering: Tackle complex multi-tenant isolation and security challenges where protecting secrets between ISV tenants is a core engineering concern, not a hypothetical.
- Architect and maintain robust AWS infrastructure using Terraform, managing ECS Fargate, RDS, Secrets Manager, and KMS to ensure total tenant isolation.
- Develop and optimize the LLM agent runtime, implementing tool-use loops and sandboxed execution environments to power intelligent Salesforce and HubSpot integrations.
- Lead end-to-end feature delivery, spanning from complex backend OAuth2/webhook integrations to shipping frontend React features that enable a seamless developer experience.
- At least 5 years of production TypeScript/Node experience in distributed systems, with deep knowledge of idempotency, retries, and comparing queue workers like pg-boss versus SQS.
- Proven expertise in multi-tenant SaaS security, specifically managing secret isolation and encryption-at-rest in environments where cross-tenant data leaks are a zero-tolerance risk.
- Fluent in AWS and Terraform with a "founder-mode" mindset, capable of turning high-level plans into production code independently while writing concise, decision-shaped design documentation.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
- Jack's an AI agent for job searching and career coaching. He works for you.
- Jill is the AI recruiter working for the company. She recruits from Jack's network.
- If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
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