Senior Backend Engineer (Node.js + AI Workflows)
Distro
- AI-Engineering
- Backend-Development
- Backend-Engineer
- Fintech
- Node.Js-Development
- Senior-AI-Backend-Engineer
- Senior-Backend-Developer-(Artificial-Intelligence)
- Senior-Node.Js-Engineer
- Software-Engineering
- Solutions-Engineering
Assessed from original listing evidence
The role
Job description
**Position:** Member of Technical Staff ([link removed] + AI Workflows)
**Location:** Remote (Must be based in Buenos Aires, Argentina)
**About Arative / Bancoli:**
- We are a distributed fintech team redefining software development. We don't hire "experts" to write code—we hire brilliant overseers to guide, correct, and empower our AI models and assistants.
* Our culture prioritizes High Energy, High Integrity, and the humility to know that the AI is the true subject-matter expert. Your job is "Help the AI to help the company!"
**Role Overview:**
We’re hiring a hands-on technical generalist to help enterprise customers turn AI workflows into working production systems. This is the next version of Solutions Engineering: part customer-facing technical partner, part infrastructure/debugging specialist, part AI-agent operator. AI will do more of the raw implementation work; your job is to steer it, validate it, integrate it, and make sure the customer outcome actually works.
* **Direct the AI:** Operate as the project leader where AI is your primary workforce. You will break down complex problems, provide the necessary context, and iterate with the AI to achieve perfection.
* **Validate and Orchestrate:** Validate the architectural, security, and performance decisions generated by AI agents for our secure payment systems.
* **Multi-Disciplinary Generalist:** Flex across domains (backend, infrastructure, fintech logic). You give the AI the "hands and tools" it needs to succeed.
**Requirements:**
- Own customer technical onboarding from workflow discovery through production rollout.
* Translate messy customer requirements into APIs, automations, integrations, evals, and deployment plans.
* Use AI agents as implementation partners, then review, test, debug, and harden their output.
* Work across [link removed] APIs, databases, auth, queues/webhooks, GCP, Cloudflare, and observability.
* Diagnose infrastructure issues: networking, environment setup, permissions, DNS, auth, latency, data flow, and reliability.
* Bring repeated customer lessons back into product, tooling, docs, and reusable playbooks.
* Be the calm technical human in the loop when customers need judgment, context, and follow-through.
**Why Join Us?**
- **Unlimited AI Access:** Near unlimited access to state-of-the-art AI models and tooling is non-negotiable and provided.
* **High Leverage:** No menial coding. You will focus entirely on systems thinking, context injection, and extreme quality control.
* **Unique Culture:** Work with a small team achieving the output of a large engineering department.
Originally posted on Himalayas
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