Senior AI Engineer

Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products—without becoming a bank.

Co-branded cards account for over $300 billion in U.S. annual spend—but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today’s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we’re building a world-class team to redefine how people pay—and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we’d love to meet you.

We’re looking for a creative, technical self-starter to build the platform that runs agents at Imprint. You’ll develop Imprint’s agent platform and iterate on taking those agents from toys to critical capabilities.

As a Senior AI Engineer, you will accelerate AI adoption across every function at Imprint. You will design and deploy AI automation agents, build intelligent solutions, and drive an AI-native culture company-wide. This role blends technical execution with cross-functional enablement. You'll build agents, evangelize their use, and measure their impact.

You’ll work end-to-end, partnering with organizations across Imprint to integrate with internal systems and ship valuable, secure agent-based interfaces. You’ll be trusted to move fast, experiment ambitiously, and scale what works.

The ideal candidate is a self-starter who thrives in ambiguity, loves building, and understands how to balance pragmatism with technical vision. You should be comfortable stitching together APIs one day and wrangling embeddings or RAG pipelines the next. This work will require a mix of customer-centric product development, hands-on experience with modern AI frameworks, software engineering fundamentals, and a passion for automation. If you're excited by the opportunity to create leverage across every corner of a growing company, we'd love to meet you.

• Design Imprint's internal agent platform from the ground up

• Create 100+ specialized AI agents automating workflows across engineering, operations, customer success, finance, and business development

• Build secure, scalable agent orchestration systems integrating with our existing tech stack

• Partner with teams across Imprint to identify high-impact automation opportunities

• Integrate AI with internal systems (CRMs, data warehouses, communication tools, proprietary platforms)

• Transform manual processes into intelligent, self-improving workflows

• Create intuitive interfaces, making advanced AI accessible to non-technical users

• Rapidly prototype using cutting-edge AI frameworks and models

• Implement RAG pipelines, embedding systems, and multi-modal AI solutions

• Balance experimental innovation with production reliability and security

• 5-7 years of experience in a high-growth technical environment, or in roles requiring self-starting, entrepreneurial, or technical skills

• Strong proficiency in programming languages such as Go (our primary backend language), Java, Python, or similar languages

• Experience with AI/ML frameworks (OpenAI API, Claude API, Gemini)

• Comfortable building solutions through prompting and occasionally working with code or APIs

• Familiarity with AI tools like Claude Code, Cursor, Notion AI, and automation tools like Dust, Gumloop, n8n, or Zapier

• Deep understanding of LLMs, prompt engineering, and agent frameworks

• Experience with RAG architectures and model evaluation

• Knowledge of AI safety and security practices

• Customer-centric approach translating business needs into technical solutions

• Experience building internal tools and developer-facing products

• Strong API design and system integration skills