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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.
