16 publicaciones de empleo destacadas de backend engineer (node) en buenos aires, b (¡Están contratando!)

Senior Full-Stack AI Engineer
Workana —Buenos Aires, Buenos Aires
- Por contrato
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Senior AI Software Engineer
Ruby Labs —Buenos Aires, Buenos Aires
- Tiempo completo
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Python Sr Developer
Web: —Buenos Aires, Buenos Aires
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10d
Mid-Level Full Stack Engineer (U$D) sao Paulo
Web: —Buenos Aires, Buenos Aires
- Tiempo completo
090L - Data Engineer · SemiSenior · Remoto · ARG
Darwoft —Buenos Aires, Buenos Aires
- Tiempo completo
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Senior Full Stack Engineer
mediasmart —Buenos Aires, Buenos Aires
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Backend AI Engineer (SR) – Python / Azure OpenAI / Semantic Kernel (Híbrido)
Talent Connect —Capital Federal, Buenos Aires
6d
001H - Senior Fullstack Engineer AI-Enabled · Darwoft
Darwoft —Buenos Aires, Buenos Aires
- Tiempo completo
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Senior Fullstack Developer (C#/.NET)
Marvik —Buenos Aires, Buenos Aires
7d
Senior AI Software Engineer
Kiwi Financial Inc —Buenos Aires, Buenos Aires
- Tiempo completo
3d
Senior AI Engineer
Ruby Labs —Buenos Aires, Buenos Aires
- Tiempo completo
3d
Fullstack Developer (.NET + JS)
Remitee (26594529) —Buenos Aires, Buenos Aires
Staff/Lead Fullstack Engineer (Data Structures Expert)
Mimica —Buenos Aires, Buenos Aires
- Tiempo completo
Engineering Manager, Core Platform | Remote | Europe
n8n —Buenos Aires, Buenos Aires
- Tiempo completo
Senior Payments & Treasury Engineer
Web: —Buenos Aires, Buenos Aires
- Tiempo completo
Senior Systems Engineer - Email Deliverability & Infrastructure
Mission Inbox —Palermo, Buenos Aires
- Tiempo completo
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9d

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Senior Full-Stack AI Engineer

Workana -
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Por contrato

Descripción completa del empleo

English Level: B2-C1
Project Lenght: 3-4 months (with big opportunities to extend)
Location: Remote; must overlap U.S. Eastern Time. Occasional client meetings.

About Our Client
Workana has is looking for a Senior Full-Stack AI Engineer for an AI-native consulting and implementation partner. They help mid-market and enterprise clients modernize critical workflows using Gen-AI, automation, and cloud platforms. They operate with small, senior teams and ship production-ready systems fast, typically live in 8–12 weeks, secure and auditable.

The Role
We are looking for a someone who can own delivery, not just execute tickets.
This role is for you if you:

Can take ambiguous requirements and turn them into working systems
Are comfortable being the most senior engineer on a stream
Move fast without sacrificing production quality
Have shipped real AI features, not demos

You’ll work closely with a strategist and other senior engineers to design, build, and harden AI-enabled products for real clients.
This is hands-on delivery work. No ivory-tower architecture. No babysitting juniors. You build, decide, and ship.

What You’ll Do

Own end-to-end delivery: Design and build full-stack features from UI to backend to deployment.
Ship real AI systems: Implement RAG, tool-calling, agent workflows, structured prompting, evals, and guardrails.
Move fast, responsibly: Prototype quickly, then harden for security, reliability, and cost control.
Use AI as a force multiplier: Work fluently with tools like Cursor, Claude Code, Windsurf, or Copilot to accelerate delivery while maintaining code quality.
Make technical calls: Choose patterns, trade-offs, and scope boundaries without waiting for permission.
Collaborate tightly: Work directly with strategists, clients, and other senior engineers to unblock progress.
Light DevOps ownership: Configure environments, CI/CD, secrets, and deployments (with support when complexity grows).

Requirements

6–8+ years building production software across front-end and back-end.

Hands-on Gen-AI experience in real products (not just experiments).
Strong command of JavaScript / TypeScript.
Proven experience with modern stacks such as:
React / Next.js
Node.js (Nest, Express, or similar)
Typescript
SQL databases (Postgres), caches, and vector stores

Comfort designing secure, production-grade systems: Auth (RBAC), secrets, auditability, PII-aware data handling
Cloud experience (AWS, GCP, Azure, or Vercel) and CI/CD fundamentals.
Clear communicator who can explain trade-offs to non-engineers.
Comfortable working embedded with a client team.

Nice to have (not required):

Experience in retail, hospitality, logistics, healthcare, or regulated environments
Prior consulting or agency delivery experience

Benefits

Full-time, long-term potential: initial 3–4 month engagement with strong chances to extend and join future VBT projects.

Remote & nearshore-friendly: work from LATAM with 4–5 hours overlap with U.S. Eastern Time.
Senior ownership: real autonomy, real decision-making, end-to-end delivery
Work on production AI: ship real Gen-AI features for mid-market and enterprise clients (not demos).
Fast, high-trust teams: small senior squads, direct collaboration with strategists, engineers, and client stakeholders.
Modern stack: TypeScript-first, modern full-stack delivery (React/Next.js, Node.js) with AI tooling in the workflow.
Clear scope & accountability: time & materials model, tracked hours*, and direct impact on outcomes.
English practice in real client settings: collaborate with U.S.-based stakeholders (B2–C1 required).

Note: This role requires logging hours in our internal time tracking tool.

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