Summary: Seeking a Senior Full-Stack AI Engineer who can own delivery of Gen-AI products, turning ambiguous requirements into working systems and shipping real AI features with autonomy. Highlights: 1. Own end-to-end delivery of full-stack AI features 2. Ship real Gen-AI systems, not just experiments 3. Real autonomy and decision-making in a senior role **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.