Full-Stack Applied AI Engineer

PLEASE NOTE:
Bitovi has been engaged by Very Big Things to lead initial and technical interviews for this role. While Bitovi will conduct the early rounds, the final interview and hiring decision will be made by Very Big Things directly.

Very Big Things is an AI-native consulting and implementation partner. We help mid-market and enterprise clients modernize critical workflows using Gen-AI, automation, and cloud platforms. We operate with small, senior teams and ship production-ready systems fast—typically live in 8–12 weeks, secure and auditable.

We are looking for a Senior Full-Stack AI Engineer who can own delivery, not just execute tickets. This role is for someone who:

• Can take ambiguous requirements and turn them into working systems
• Is comfortable being the most senior engineer on a stream
• Moves fast without sacrificing production quality
• Has shipped real AI features—not demos

You’ll work closely with a VBT 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.

• 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 Dev Ops ownership: Configure environments, CI/CD, secrets, and deployments (with support when complexity grows).

• 6+ 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/Type Script.
• Proven experience with modern stacks such as:
  • React/Next.js
  • Node.js (Nest, Express, or similar)
• SQL databases (Postgres), caches, and vector stores.
• Comfortable 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.

• Experience in retail, hospitality, logistics, healthcare, or regulated environments.
• Prior consulting or agency delivery experience.

• Competitive pay based on location and experience.
• 100% remote.