Full Stack Engineer

Location:

Hybrid (2–3 days/week onsite) – Bay Area, CA

Blazel is building an AI-powered marketing platform that helps companies create, manage, and scale content across channels. After raising $7.3M in pre-seed funding
, we're rapidly expanding our engineering team as we prepare for enterprise customers and our next phase of growth.

We're looking for engineers who love building from first principles, thrive in ambiguity, and want to help build a category-defining AI company.

We're hiring 1–2 Senior Full-Stack Engineers to join our core engineering team.

Today, our CEO is still heavily involved in engineering. We need experienced builders who can take ownership of major product initiatives, help scale our architecture, and accelerate product development as we transition from startup to enterprise.

This isn't a narrowly scoped engineering role. You'll work across the entire stack—from frontend experiences to backend systems, cloud infrastructure, AI workflows, and production architecture.

• Design, build, and ship full-stack product features from idea to production
• Develop backend services using Python
• Build modern web applications and help transition our product from desktop to web and mobile
• Design scalable cloud infrastructure on AWS, GCP, or similar platforms
• Improve AI agent pipelines for speed, reliability, and output quality
• Optimize system architecture for enterprise customers
• Build secure, highly available production systems
• Partner directly with founders on product direction and technical decisions
• Move quickly while maintaining high engineering standards

• 6+ years of professional software engineering experience
• Experience building and deploying cloud-native applications (AWS, GCP, or Azure)
• Comfortable working across frontend, backend, infrastructure, APIs, and architecture
• Hands-on experience using AI coding tools to improve engineering productivity
• Experience shipping production software at a high quality bar
• Strong debugging and problem-solving skills
• Startup experience or an ownership mindset

• Experience building AI-powered products
• Machine learning or LLM experience
• Security, compliance, or SOC 2 experience

You thrive in fast-moving environments where priorities change quickly.

You enjoy solving hard technical problems, take ownership without waiting for direction, and aren't afraid to jump into unfamiliar parts of the stack.

You're collaborative, humble, and focused on building great products—not protecting your job description.

Most importantly, you're excited about helping build something from the ground up.

• Meaningful equity with significant upside
• Work directly with experienced founders
• Build AI products used by enterprise customers
• Small, high-performing engineering team
• Opportunity to shape both the product and engineering culture
• Join at an early stage with ambitious growth plans

If you're looking for a role where your work will directly shape the future of an AI company—and you enjoy the pace, ownership, and impact of an early-stage startup—we'd love to talk.