Applied AI Engineer

Applied AI Engineer

Enlightened Today is a rapidly expanding and innovative company leading the charge in the spiritual and wellness space. We are dedicated to changing the industry with bold, creative marketing strategies and forward‑thinking technical solutions. Our team thrives on collaboration, innovation, and crafting content that deeply resonates with our audience. Our business model centers on creating authentic connections with our audience through digital channels and delivering premium services and products that meet their needs.

This is a hands‑on, embedded engineering role. Instead of sitting behind a backlog and building to spec, you’ll embed directly with the founders and the team, figure out what the business actually needs (which is often not what was first asked for), and ship working AI solutions fast. You’ll move fluidly between building AI agents, shipping customer‑facing AI products, and wiring up the data that feeds both, talking to the people who’ll use what you build, iterating in front of them, and turning rough ideas into things that work.

In short: part engineer, part solutions architect, part builder‑who‑talks‑to‑humans. You’ll be deployed against our own business and customers rather than external clients, but the instincts are the same: high autonomy, fast prototyping, strong communication, and a bias toward shipping something useful over perfecting something slowly.

This is a “hire for talent” role, and we care far more about what you can build and how you think than about your years of experience or pedigree. If you’re early‑career but exceptional, or senior and want to get your hands dirty again, both are welcome.

• Agentic orchestration. We run our development and operations on an internal system of specialized AI agents, built on Claude Code, that plan, build, and review each other’s work before anything ships, with reusable skills and adversarial review gates that keep quality high. You’ll operate it, extend it, build new agents and skills for our specific workflows, and keep those quality gates sharp.
• Conversational AI grounded in the customer. Build AI chat and voice experiences that tap into a customer’s profile and behavioral signals to have genuinely helpful, personalized conversations with them about their relationship and life questions, the core of what our customers come to us for. This spans retrieval over customer profiles, conversation memory, and (on the roadmap) real‑time voice.
• Signal‑based personalized marketing. Turn customer signals into tailored marketing: segments, scoring, and personalized messaging pushed through our marketing stack. This extends our existing lead‑intelligence pipeline.

You won’t do all three every week, but over a quarter you’ll likely touch all of them.

• AI / LLM:
  Claude (API + Claude Code), multi‑agent orchestration, prompt and skill authoring, Eleven Labs for voice
• Primary language:
  Python
• Backend / data:
  Postgres / Supabase (incl. pgvector), REST APIs
• Frontend:
  Next.js, React, Vercel, HTML/CSS
• Marketing infra:
  Klaviyo, Checkout Champ, Hyros, attribution and CRM tools
• Tooling:
  Git / Git Hub, CI, modern AI‑assisted dev workflows (some of our agent tooling touches shell + Type Script/Node)

You don’t need every item on this list. You do need to be the kind of person who picks up a new tool quickly and ships with it.

• Hands‑on, embedded instincts: you can sit with a non‑technical stakeholder, diagnose what they actually need, and turn it into something working, fast, and without a detailed spec.
• Solid communication: you’ll work directly with the founders and explain your work to non‑engineers clearly.
• Strong Python and solid full‑stack fundamentals, comfortable across backend logic, data, and a functional frontend.
• Real, hands‑on LLM experience: prompting, retrieval (RAG), chaining, evaluating outputs, and handling the messy reality of non‑deterministic systems.
• Agentic experience: you’ve built or seriously operated multi‑agent systems and understand orchestration, tool/function calling, and review/eval loops.
• Fluency with AI‑assisted development: you use tools like Claude Code daily…