Backend Engineer

Envive is using AI to reimagine commerce. We envision a future where retailers and brands can deploy hyper-personalized online shopping experience easily, so customers can transact flawlessly. We are developing a new breed of AI that continuously improves towards a goal. These models understand human behavior, reason what makes an amazing experience, continuously get better, and achieve performance surpassing that of today's top commercial AI models. We already have commercial success deploying cutting-edge research techniques that our world-class researchers developed over the last two years to scale hyper-personalized and continuously improving AI, and are looking to scale fast. What you'll do Design and scale robust backend systems: Architect and implement core backend services that are secure, scalable, and performant — supporting our AI-driven features and customer-facing applications. Build APIs and real-time data infrastructure: Own the development of APIs, data processing pipelines, and event-driven architectures that fuel AI workflows and product interactions. Optimize for performance and reliability: Take responsibility for system performance, uptime, and observability. You'll implement best practices around monitoring, alerting, and graceful degradation. Collaborate cross-functionally: Work closely with ML engineers, frontend developers, product managers, and designers to ensure seamless integration across the stack and a tight feedback loop from ideas to implementation. Who you are Experienced backend developer: You have 5+ years of experience building production-grade backend systems — with deep expertise in languages like Python an infra-as-code frameworks like Terraform. Scalability and systems thinker: You've designed systems for scale, reliability, and maintainability. You understand distributed systems, database optimization, and cloud-native architectures (ideally GCP), including frameworks like Kubernetes and workflow platforms like Airflow. Startup-ready: You're excited by ambiguity, fast iteration, and solving hard problems with limited resources. You've likely worked in startups or small, agile teams and know how to prioritize impact over perfection. AI/ML curious: You don't need to be an ML expert — but if you're interested in deploying safe and reliable machine learning systems, training large language models, or integrating models, you'll find lots of opportunities to grow. Bonus Points ✨: We are especially excited to hear from polyglot engineers who thrive in diverse technical environments and bring expertise in multiple programming languages to solve complex problems. Competitive salary & equity: Get rewarded for your ambition with meaningful early-stage equity. Trailblazer opportunity: Be a pivotal part of our well-funded, high-potential startup. Flexible work environment: We combine the flexibility of remote work with regular in-person collaboration. We are focusing on hiring candidates located in (or open to relocating to) the Greater Seattle Area. Health is wealth: Comprehensive medical, dental, and vision insurance. #J-18808-Ljbffr