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mimi

AI Data Engineer

Influur

Canada · On-site Full-time 2w ago

About the role

Hey — thanks for sharing the full brief! 🎉
It’s clear you’ve built something truly unique, and the “full‑ownership, agent‑first” vibe comes through loud and clear.

Below are a few ways I can help you move this forward, plus a quick‑look at the posting you’ve drafted with some concrete suggestions:


1️⃣ What I Can Do for You Right Now

Need How I Can Help
Polish the job ad Tighten the copy, add a compelling hook, and format it for LinkedIn, AngelList, or your careers page.
Create a “candidate persona” Turn the skillset list into a concise profile (experience level, projects, tech stack) that you can use for sourcing and screening.
Design a hiring workflow Outline interview stages, sample technical challenges (e.g., video‑pipeline mini‑project), and evaluation rubrics that align with your “full‑stack AI generalist” expectations.
Write a cover‑letter template Give candidates a ready‑made structure to showcase why they’re the perfect fit for Influur’s autonomous‑agent mission.
Build a technical take‑home Draft a short, realistic problem (e.g., “extract 5‑second clips from a 10‑minute music video, embed them, and return the top‑3 most “viral‑ready” segments”) that tests the exact stack you care about.
Craft an equity‑explanation cheat‑sheet Help you communicate the value of the equity package in a way that resonates with senior engineers who are weighing risk vs. upside.
Create a “Why Influur?” pitch deck slide A one‑pager you can attach to the posting or send to candidates that visualizes the market, moat, and timeline you outlined.

Just let me know which of the above (or anything else) you’d like to dive into, and I’ll get to work.


2️⃣ Quick Feedback on the Draft You Shared

What’s Working Great

  • Narrative hook – You start with a bold vision (“world’s first viral agent”) and immediately differentiate from “tools” and “platforms.”
  • Credibility signals – Mentioning Warner, Sony, Universal, Sofia Vergara, and Point72 gives instant social proof.
  • Urgency & timing – The “12‑to‑18‑month window before the market floods” creates a clear sense of why now matters.
  • Ownership language – “Full ownership, not a narrow role” and “meaningful equity” speak directly to senior talent who want impact.

Areas to Tighten

Section Suggested Change
Title Add a concrete role name (e.g., “Senior AI Engineer – Autonomous Influencer Agent”) so candidates know the seniority level at a glance.
Opening paragraph Keep the vision but trim the second sentence. Example: “We’re building an autonomous AI that turns a brief brief (“I need this campaign to break”) into a live, 50‑influencer rollout with minimal human touch.”
Why we’ll win Turn the bullet into a short, punchy statement: “Our moat = proprietary viral‑content data + direct influencer relationships – the only company that owns both.”
Skillset list Group related items under sub‑headings for readability (e.g., Core Engineering, Multimodal Data Pipelines, Agent Architecture, Cloud & Ops).
“You’re the type who” Consider re‑ordering to start with the most differentiating trait: “Owns the entire stack, from raw video ingestion to autonomous decision‑making, and loves turning ambiguity into standards.”
Benefits Add a concrete equity range (if you can) and any other perks (remote‑first, health, learning budget). Even a line like “Competitive salary + 0.5‑2 % fully‑diluted equity” helps candidates self‑screen.
Call‑to‑action End with a clear next step: “If you’re ready to build the AI that will power the next wave of music marketing, send your resume, a short “why Influur?” note, and a link to a repo or project you’re proud of to jobs@influur.com.”

Revised Skeleton (Copy‑Paste Ready)

🚀 Senior AI Engineer – Autonomous Influencer Agent @ Influur

We’re building the world’s first AI‑only viral agent. From a simple brief (“I need this campaign to break”) to a live rollout of 50 influencers next week – with almost zero human hand‑off.

Why it matters
• 3 years of proprietary data on what makes influencer content go viral.
• Trusted by Warner, Sony, Universal + backed by Sofia Vergara, Karol G, Tommy Mottola, and Point72 Ventures.
• The only company that owns both the data *and* the distribution network.

Why now
AGI‑style agents will replace middle‑level work by 2027. We have a 12‑18 month window before the market floods. We’re defining the category today.

What you’ll own
• End‑to‑end pipelines: raw video/audio → embeddings → autonomous planning → execution.
• Build and iterate on our LLM‑powered agent loops (memory, tool use, planning).
• Scale multimodal workloads on AWS/GCP, ensuring reliability for production campaigns.

Your skillset
**Core Engineering** – Expert‑level Python, clean modular code, test‑driven development.  
**Multimodal Data Pipelines** – Video/audio codecs, frame extraction, batch & streaming workflows, embeddings.  
**Agent Architecture** – Memory stores, planning modules, tool‑use orchestration, LLM integration.  
**Cloud & Ops** – AWS/GCP, Kubernetes/ECS, CI/CD, monitoring & alerting.  
*Bonus*: Experience with social‑media data (TikTok, Instagram, YouTube).

You’re the type who
• Owns the full stack – “that’s someone else’s job” isn’t in your vocabulary.  
• Thrives in ambiguity, turning chaos into standards.  
• Ships fast, values real‑world impact over academic perfection.  
• Is obsessed with turning data into leverage through automation.

What we offer
• Competitive salary + 0.5‑2 % fully‑diluted equity.  
• A seat at the table shaping the AI that powers influencer matchmaking and campaign automation.  
• Access to elite tools, AI copilots, and a high‑velocity engineering culture.  
• The chance to define the foundation of a category‑defining product used by the world’s biggest music brands.

Ready to build the AI that will power the next wave of music marketing?  
Send your resume, a brief “why Influur?” note, and a link to a project you’re proud of to **jobs@influur.com**.

Feel free to copy‑paste, tweak, or let me know if you’d like any of the sections expanded.


3️⃣ Next Steps

  1. Pick a deliverable – e.g., “Polish the ad & add equity range” or “Create a 2‑hour interview process with sample code challenge.”
  2. Tell me any constraints – word count limits, brand voice guidelines, or specific platforms you’ll post on.
  3. I’ll draft and iterate until it feels spot‑on for your target audience.

Just let me know what you need, and we’ll get it done! 🚀

Requirements

  • Expert-level Python engineering with clean, modular, reusable code.
  • Experience building scalable data pipelines for unstructured data (video, audio, multimodal).
  • Strong understanding of video/sound processing (codecs, frame extraction, batch & streaming workflows).
  • Hands-on experience building AI agents: memory, planning, tool use, and execution loops.
  • Ability to design systems that go from raw data → insight → autonomous action.
  • Experience with embeddings, multimodal models, and LLM-powered workflows.
  • Strong grasp of performance, scalability, and reliability in data-heavy systems.
  • Comfortable owning architecture decisions end-to-end, from ingestion to production agents.
  • Familiarity with cloud infrastructure (AWS/GCP) and scalable compute setups.

Benefits

equity

Skills

AWSGCPLLMPython

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