Founding Data & AI Engineer – Creative Engine

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Sierra

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Sierra is a company that specializes in transforming customer experiences through the power of conversational AI. Their platform enables businesses to deploy AI agents that are empathetic, always available, and aligned with the brand's tone and voice. Sierra offers capabilities for real-time support, seamless integration into existing technology stacks, and the capacity to solve complex issues while continuously improving the customer experience. Trusted by leading brands, Sierra's AI platform is designed with a strong commitment to security and privacy, ensuring safe and secure interactions. The platform allows for personalization, enabling companies to imbue their AI agents with their own identity and processes, ensuring consistency and reliability across all customer interactions.

📋 Description

• Design data pipelines that pull, store, and structure performance, sales, and engagement data across hundreds of client accounts and platforms. • Build the LLM analysis layer using Gemini for video analysis and Claude for generation, with structured output and cost controls. • Build semantic search and discovery with pgvector. • Connect organic references, top-performing ads, content tags, and creator history into queryable creative intelligence. • Develop creator-performance matching for casting decisions. • Own full-stack features including dashboards, tag browsers, enrichment queues, and export tools using Django, HTMX, and Tailwind. • Integrate external APIs including TikTok, Meta, Motion, and Cruva. • Maintain internal asynchronous pipelines using Celery and Redis. • Ship features end to end in a small, autonomous, low-process team.

🎯 Requirements

• 5+ years building production, data-heavy applications with Python/Django and PostgreSQL • Strong SQL skills including aggregations, joins, and window functions • Ability to design schemas and data models from use cases • Experience designing and debugging asynchronous data pipelines with Celery + Redis or equivalent • Hands-on production experience with LLM APIs, prompt engineering, structured output, and cost management • Fluency with agentic coding tools such as Claude Code and Cowork • Experience integrating third-party APIs with rate limits, authentication flows, and inconsistent data • Comfortable owning frontend work with Django templates, HTMX, and Tailwind • Strong written communication and high ownership on a small async team • Advanced to fluent English skills • Based in Brazil and working US time zones • Preferred: agent harnesses, RAG, or LLM evaluation pipelines • Preferred: familiarity with ML fundamentals • Preferred: video or audio processing pipeline experience • Preferred: ad tech, creator economy, performance marketing, or marketplace experience • Preferred: experience working with a US-based team • Updated CV in English required for application

🏖️ Benefits

• Remote work • Async work environment • Continuous learning opportunities and resources to thrive • AI-assisted workflow using Claude Code and coding agents • Production deployments multiple times per day • Optional introductory video submission; phone quality acceptable