Build production-ready intelligent automations and agentic AI solutions. Full-stack development using TypeScript or Python, LangChain, vector DBs, RAG, and tool-calling. Collaborate with clients, ensure maintainable, tested, scalable deployments, CI/CD, observability, and model fine-tuning or deployment.
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.
Similar Jobs
Information Technology • Software • Design
The Full-Stack Applied AI Engineer will design and build AI-enabled products, own delivery from UI to backend, and implement robust systems with a focus on security and reliability, collaborating closely with clients and team members.
Top Skills:
AWSAzureCi/CdExpressGCPJavaScriptNestNext.JsNode.jsPostgresReactSQLTypescriptVercel
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Leads compensation programs and analysis for a global employee population. Partners with HR, Finance, and business leaders on pay decisions, job evaluations, salary structures, merit and promotion cycles, incentives, market data, budgeting, and compliance. Builds compensation models, dashboards, reports, and tools; advises on policies; manages process improvements; and supports accurate compensation accruals and administration.
Top Skills:
HrisExcelMicrosoft PowerpointPayfactorsSAP
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage strategic customer relationships for Samsara’s IoT platform, helping mid-market customers adopt products, resolve technical issues, and achieve measurable operational value. Lead workshops, workflow transformations, value check-ins, and action plans while coordinating with Sales, Product, Support, Finance, Renewals, and Engineering. Advise customers across transportation, utilities, field services, and other industries, influence internal roadmaps, and drive renewals and expansion through strong technical communication and problem-solving.
Top Skills:
APIsDatabricksIntegrationsIotPower BISaaS
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
