Senior Full-Stack AI Engineer

English Level: B2-C1
Project Lenght: 3-4 months (with big opportunities to extend)
Location:Remote; must overlapU.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 in8–12 weeks, secure and auditable.

The Role

We are looking for asomeone who canown 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 ishands-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 inretail, 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 intern