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Senior Full-Stack AI Engineer

Summary

Build and ship production-grade AI features end-to-end: RAG, agents, and structured prompting in React/Next.js and Node.js, deployed on AWS/GCP.

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 asomeone who can own delivery , not just execute tickets.
This role is for you if you:

  • Can takeambiguous requirementsand turn them into working systems
  • Are comfortable being themost senior engineer on a stream
  • Move fastwithout sacrificing production quality
  • Have shippedreal 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+ yearsbuilding production software across front-end and back-end.
  • Hands-on Gen-AI experiencein real products (not just experiments).
  • Strong command ofJavaScript / 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 designingsecure, 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 workingembedded 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.

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