Founding Data & AI Engineer, Creative Engine

Accountabilities:
As a Founding Data & AI Engineer, you will own the technical foundation of an AI-powered creative intelligence platform. You will work across data engineering, AI development, and product delivery, building scalable systems that transform large volumes of creative and performance data into meaningful insights. Design and develop data pipelines that collect, structure, and process performance, sales, and engagement data from multiple platforms and client accounts. Build and optimise LLM-powered workflows for analysing, tagging, and understanding large volumes of creative content. Develop semantic search and discovery capabilities that allow users to query creative intelligence through natural language. Create the core data systems that connect content performance, creator history, advertising results, and creative patterns into a unified intelligence layer. Build creator-performance matching solutions to improve decision-making around content and campaign strategies. Own end-to-end feature development, including dashboards, data exploration tools, enrichment workflows, and product interfaces. Integrate external APIs and manage complex data flows from platforms such as social media, commerce, and business tools. Design reliable asynchronous processing systems and ensure scalability, performance, and maintainability. Use AI-assisted development tools to accelerate delivery while maintaining high engineering standards. Requirements: The ideal candidate is a senior-level engineer with strong experience building data-intensive applications and a passion for artificial intelligence. You should be comfortable working independently, making technical decisions, and owning projects from concept through production in a fast-moving environment. 5+ years of experience building production-grade, data-heavy applications using Python, Django, and PostgreSQL. Strong SQL expertise, including advanced queries, aggregations, joins, window functions, and data modelling. Experience designing, implementing, and debugging asynchronous data pipelines using tools such as Celery, Redis, or equivalent technologies. Hands-on experience working with LLM APIs in production environments, including prompt engineering, structured outputs, and cost optimisation. Strong familiarity with AI-native development workflows and agentic coding tools such as Claude Code or similar solutions. Experience integrating complex third-party APIs, including authentication flows, rate limits, and inconsistent data structures. Ability to build full-stack features using technologies such as Django templates, HTMX, and Tailwind CSS, without requiring specialised frontend expertise. Strong written communication skills and the ability to collaborate effectively in an async, remote environment. High ownership mindset with the ability to operate autonomously in a small, fast-paced team. Experience with AI engineering concepts such as agent systems, RAG, LLM evaluation pipelines, or ML fundamentals is a plus. Experience with video or audio processing, ad tech, creator economy, performance marketing, or marketplace platforms is considered an advantage. Availability to work with US-based teams and schedules while being located in Brazil. Benefits: Fully remote work environment based in Brazil. Opportunity to join a founding team and have significant influence over product direction. High ownership role with direct impact on architecture, technology choices, and business outcomes. Opportunity to build cutting-edge AI and data products from the ground up. Flexible, async working culture focused on autonomy and execution. Exposure to modern AI development practices and advanced technical challenges. Opportunity to work with innovative technologies across data engineering, LLMs, and intelligent systems. Collaborative environment with a strong focus on learning and continuous improvement.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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