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).
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
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.

📌 Senior Full-Stack Ai Engineer (3-4 Months) (Quilmes)
🏢 Workana
📍 Quilmes