About this opportunity
Brand.AI lists this Senior Software Engineer opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
brand.ai sits at the intersection of artificial intelligence and brand identity. We're building technology that fundamentally reimagines how brands evolve and express themselves in the world. Our platform enables brands to develop coherent identities that adapt and respond to the rapidly shifting technologically driven cultural landscape while maintaining authenticity.
We're not just another martech tool: we're building a layer 1 platform that becomes the foundational infrastructure for how brands manage and extend their DNA in an AI-driven world.
About you
We're seeking a Senior Software Engineer to help design and build the infrastructure that powers AI-driven brand transformation. You combine deep technical fundamentals with genuine curiosity about how AI is reshaping creative work.
What you'll do
Design and build scalable backend systems, APIs, and data pipelines for our AI-driven platform
Be part of architectural decisions and set standards for reliability, security, and performance
Integrate and orchestrate LLMs and generative AI systems, including evaluation frameworks for brand consistency
Ship features that make complex AI capabilities feel effortless for creative professionals
Shape engineering culture as a senior early team member
What we're looking for
8+ years building and operating production systems
Proficiency in modern backend languages (Python, TypeScript/Node.js, Go) plus frontend fluency (React, TypeScript)
Hands-on experience integrating LLMs and generative AI into production products
Experience with cloud platforms, containerization, and database design
Startup mindset: autonomous, pragmatic, comfortable with ambiguity
Genuine curiosity about AI, creativity, and brand work
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Worksite address
washington, DC, 20022, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.