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Senior Data EngineerINKU • Cedar Grove, Florida, United States
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Senior Data Engineer

INKU
  • US
    Cedar Grove, Florida, United States
  • US
    Cedar Grove, Florida, United States
Jetzt Bewerben

Über

Build the data foundation for the an advanced brand-consistent AI content generation platform. Design scalable ETL pipelines and graph database architectures that enable our AI to understand and maintain brand identity across all generated content. Work on GCP infrastructure, GPU scaling for batch generation, and systems that improve on-brand accuracy from 70% to 100%. Join our team in January 2026 to establish the technical groundwork for our production platform launch. Required: 4+ years data engineering, PostgreSQL, scalable ETL pipelines, cloud infrastructure (GCP preferred). Bonus: graph databases, multimodal data experience, startup background.
Overview Help build the world's most advanced brand-consistent AI content generation platform at Inku.
We are on a mission to create the most sophisticated brand identity AI system in the world. This system will ingest and understand every facet of a brand—from visual guidelines and product imagery to company culture and video content—to generate content that feels unconsciously on-brand. Our platform will power the creation of production-ready 4K assets that seamlessly blend brand authenticity with AI-generated creativity.
The Data team at Inku is responsible for all aspects of data preparation and brand identity modeling that powers our generation workflows. We build the data foundation layer that connects brand materials to AI outputs, ensuring every generated image achieves 100% on-brand accuracy across all criteria. We're an interdisciplinary team working across the full stack—from ingestion pipelines to model training to production deployment—learning from each other and collaborating to create a platform that feels magical to use.
We work in 2-3 week cycles with rotating project ownership in a flat organisational structure. You'll be working directly with our CTO and a team of engineers with strong software and AI backgrounds, with significant autonomy to shape both technical architecture and product direction.
We are looking for an outstanding individual excited about joining us in January 2026 to lay the groundwork for our production platform. In particular, we are looking for a candidate who:
Is passionate about the intersection of brand identity, creative workflows, and AI systems
Will thrive in a startup environment where you'll wear multiple hats and move fast
Has deep expertise in data engineering and pays close attention to the details that make AI outputs feel authentic
Demonstrates a proactive attitude and enthusiasm for exploring new approaches to brand representation
Can effectively balance multiple responsibilities as we build towards production
Responsibilities
Design and build robust data pipelines that ingest and process diverse brand materials (images, videos, style guides, company documents, existing creative assets)
Create the data foundation layer that enables our AI to understand and maintain brand consistency across all generated content
Build and optimize graph database architectures to model complex relationships between brand elements, visual styles, and creative attributes
Build infrastructure to store, version, and efficiently retrieve the multimodal data needed to power our generation models
Partner with AI engineers to improve on-brand accuracy through careful experimentation and data-driven iteration
Develop systems to measure and track brand consistency metrics, moving us from current 50% (2/4 criteria) to 100% (4/4 criteria) accuracy
Collaborate across our small team to identify gaps in model performance and translate them into data improvements
Helps establish engineering practices and technical foundations as we scale to production
Qualifications Required:
4+ years of experience in data engineering, building production data pipelines and infrastructure
Strong programming skills (Python required; experience with data processing frameworks)
Experience working with large-scale data storage and retrieval systems
Experience with cloud infrastructure (GCP strongly preferred)
Proven ability to work independently and take ownership of complex technical challenges
Comfort with ambiguity and excitement about defining systems from the ground up
Experience with graph databases (Neo4j, TigerGraph, or similar) and knowledge graph construction
Strong PostgreSQL experience, including schema design, query optimization, and performance tuning
Preferred:
6+ years of experience in data engineering or related fields
Strong GCP expertise, particularly with GPU compute, scaling strategies, and cost optimisation
Experience with multimodal data (images, video, text) and computer vision pipelines
Familiarity with AI/ML workflows and model training infrastructure
Background working in creative industries or with brand identity systems
Experience at early-stage startups or building 0→1 products
Knowledge of GPU compute infrastructure and optimisation for inference workloads
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  • Cedar Grove, Florida, United States

Sprachkenntnisse

  • English
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