About The Position
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.
Requirements
- 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/TypeScript.
- 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.
Nice To Haves
- Experience in retail, hospitality, logistics, healthcare, or regulated environments.
- Prior consulting or agency delivery experience.
Responsibilities
- 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).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
