Full-Stack Applied AI Engineer

Bitovi; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Very Big Things is seeking a Senior Full-Stack AI Engineer to own delivery of AI-enabled systems for real clients. You will design, build, and harden production-grade features from UI through deployment, including RAG, tool-calling, and agent workflows.

You will work with strategists and other senior engineers to ship production systems in fast cycles. You will use JavaScript/TypeScript, React/Next.js, and Node.js in a hands-on role, balancing speed with security, reliability, and cost control,

Qualifications

• 6+ years building production software across front-end and back-end.
• Hands-on Gen-AI experience in real products.
• Strong command of JavaScript/TypeScript.
• Proven experience with modern stacks such as React/Next.js and Node.js (Nest/Express).
• SQL databases (Postgres), caches, and vector stores.
• 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.

Responsibilities

• Own end-to-end delivery.
• Design and build full-stack features from UI to backend to deployment.
• Ship real AI systems including RAG, tool-calling, agent workflows, and guardrails.
• Move fast while maintaining production quality.
• Work with AI tools to accelerate delivery without compromising code quality.
• Make technical calls on patterns, trade-offs, and scope boundaries.
• Collaborate with strategists, clients, and senior engineers to unblock progress.
• Light DevOps ownership: configure environments, CI/CD, secrets, and deployments.

Skills

JS/TS

Gen-AI experience

Full-stack delivery

Cloud experience

CI/CD

Communication

Client-facing

Tools

React/Next.js

Node.js (Nest/Express)

Postgres

Caches

Vector stores

RBAC/security

Job description

JOIN THE VERY BIG THINGS TEAM!

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.

The Role

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.

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)

What You’ll Bring

• 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.jsNode.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 Have

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