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.
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 RoleWe 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).
- 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.
- Experience in retail, hospitality, logistics, healthcare, or regulated environments.
- Prior consulting or agency delivery experience.
HOW TO APPLY:
Please share a resume and LinkedIn profile and answer the additional questions. Yes, we read through all the answers!
*Please note that we are not interested in working with recruiters. All job offers are contingent on passing a detailed background check.
Skills Required
- Nearshore candidate able to work a minimum of 6 hours overlap with Eastern time zone
- Full-Stack development in TypeScript or Python
- Building intelligent workflows or agents using LangChain
- Practical use of multiple AI models and content modalities
- Leveraging vector databases and advanced RAG techniques
- Utilizing tool calling and advanced model features
- Working directly with clients or other stakeholders
- Pass a detailed background check
- Experience with cloud deployments and management (AWS, Docker, Kubernetes)
- Familiarity with CI/CD pipelines (GitHub Actions, TravisCI, CodeBuild)
- Observability techniques (logging, metrics, tracing)
- Automated testing (unit, integration, performance testing)
- Fine-tuning models or building custom models; deploying open-source models
- Designing and building feedback systems for reinforcement learning
What We Do
Bitovi simplifies JavaScript development and UX design. We teach people how to create amazing web apps, the right way. After years of solving complex front-end engineering problems, we know what works and what doesn't. And we've baked that experience into our tools, consulting, and training.
