English Level: B2-C1Project Lenght: 3-4 months (with big opportunities to extend)Location: Remote; must overlap U.S. Eastern Time. Occasional client meetings.About Our ClientWorkana 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 RoleWe 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 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 is hands-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 in retail, 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.
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.
