Applied Ai Engineer - Enlightened Today (Regina)
Enlightened Today
Applied AI Engineer
This is a hands‑on, embedded engineering role that requires working directly with founders and stakeholders to quickly ship AI solutions to our internal and customer-facing products. You will act as part engineer, part solutions architect, and part builder‑who‑talks‑to‑humans, prioritizing functional delivery over perfection.
Responsibilities
- Lead or contribute to flagship initiatives: agentic orchestration, conversational AI with customer profiles, and signal‑based personalized marketing.
- Build and extend internal AI agents that plan, build, and review work using Claude Code, ensuring quality gates remain sharp.
- Develop AI chat and voice experiences that personalize conversations based on customer data and behavioral signals.
- Transform customer signals into sector‑specific marketing segments, scoring, and messaging integrated with existing marketing stacks.
- Collaborate closely with founders, stakeholders, and non‑technical teams to diagnose real needs and iterate quickly.
- Write clean, testable Python code, manage backend logic, data pipelines, and functional front‑end components.
- Ensure compliance with data privacy and safe‑use principles for sensitive emotional conversations.
Qualifications
- Hands‑on, embedded instincts for turning stakeholder needs into working software without a detailed spec.
- Strong communication skills for explaining technical work to non‑engineers.
- Solid Python fundamentals and full‑stack experience, comfortable with backend logic, data, and functional front‑end.
- Real, hands‑on LLM experience: prompting, retrieval (RAG), chaining, evaluating outputs, and managing non‑deterministic systems.
- Experience building or operating multi‑agent systems, with knowledge of orchestration, tool/function calling, and review loops.
- Familiarity with AI‑assisted development tools like Claude Code and an ability to leverage them daily.
- Engineering discipline: TDD, clean Git workflows, and building quality gates.
- Comfort with shell, TypeScript/Node, and related tooling when required.
- Bias toward shipping functional software rather than perfect software.
- Sound judgment regarding sensitive, emotional conversations and the need for guardrails, escalation paths, and clear boundaries.
- Knowledge of privacy and data protection standards such as CCPA.
Nice to Have
- Prior solutions‑engineering, founder, or consulting experience.
- Conversational or voice AI experience (TTS/STT, low‑latency streaming, voice‑agent frameworks).
- Experience in DTC e‑commerce, subscriptions, or performance marketing.
- Familiarity with attribution/CRM platforms and marketing APIs.
- Experience with recommendation, personalization, or feature‑store systems.
- Knowledge of agentic frameworks such as LangGraph, CrewAI, AutoGen, or similar.
- Portfolio of shipped products, repositories, demos, or AI projects that can be reviewed.
Stack
- AI/LLM: Claude (API + Claude Code), multi‑agent orchestration, prompt and skill authoring, ElevenLabs for voice.
- Primary language: Python.
- Backend/data: Postgres / Supabase (incl. pgvector), REST APIs.
- Frontend: Next.js, React, Vercel, HTML/CSS.
- Marketing infrastructure: Klaviyo, Checkout Champ, Hyros, and related attribution and CRM tools.
- Tooling: Git/GitHub, CI, AI‑assisted development workflows, shell, and TypeScript/Node as needed.
Vacancy posted 1 day ago
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