Activate JobCopilot
What we're looking for:
Elite builders who want full ownership, not a narrow role.
This is not a “data engineer” job in the traditional sense. It’s an opportunity to own the full lifecycle: from raw video ingestion to the decisions made by autonomous AI agents in production. We offer meaningful equity to people who want to define the future of agentic AI and own a real piece of it.
Your Skillset
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).
- Experience with embeddings, multimodal models, and LLM-powered 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.
Strong grasp of performance, scalability, and reliability in data-heavy systems.
Comfortable owning architecture decisions end-to-end, from ingestion to production agents.
Experience working with cloud infrastructure (GCP / AWS) and scalable compute setups.
You’re the Type Who
Is a full-stack AI generalist: you don’t believe “that’s someone else’s job”.
Thrives in ambiguity and sees lack of structure as an opportunity to define standards.
Ships fast and values real-world impact over academic perfection.
Is obsessed with turning data into leverage through automation and agents.
Wants to build systems that actually run the business, not just dashboards or models.
Bonus: Expertise in working with social media data
What We Offer
Competitive equity in a venture-backed company shaping the future of music influencer marketing.
A seat at the table as we update and develop our AI Agent to power smarter matchmaking and campaign automation.
Access to elite tools, AI copilots, and a team that builds daily at top speed
The opportunity to shape the foundation of Influur’s AI systems that empower creators and brands globally.
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