English Level:B2-C1Project Lenght: 3-4 months (with big opportunities to extend)Location:Remote; must overlapU.S.
Eastern Time.
Occasional client meetings.About Our ClientWorkana has is looking for aSenior Full-Stack AI Engineerfor 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 in8–12 weeks, secure and auditable.The RoleWe are looking for a someone who canown delivery, not just execute tickets.This role is for you if you:Can take ambiguous requirements and turn them into working systemsAre comfortable being the most senior engineer on a streamMove fast without sacrificing production qualityHave shipped real AI features, not demosYou'll work closely with a strategist and other senior engineers to design, build, and harden AI-enabled products for real clients.This ishands-on delivery work.
No ivory-tower architecture.
No babysitting juniors.
You build, decide, and ship.What You'll DoOwn 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).
Requirements6–8+ 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.jsNode.js (Nest, Express, or similar)TypescriptSQL databases (Postgres), caches, and vector storesComfort designing secure, production-grade systems: Auth (RBAC), secrets, auditability, PII-aware data handlingCloud 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 inretail, hospitality, logistics, healthcare, or regulated environmentsPrior consulting or agency delivery experienceBenefitsFull-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 deliveryWork 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 (Xico)
🏢 Workana
📍 Xico