Requirements
Senior Backend Engineer – AI Infrastructure (Seattle, Hybrid)
Salary: $170,000 – $210,000 (DOE)
Equity: 0.1% – 0.2%
Location: Greater Seattle Area (Hybrid – in-office Wednesdays & Thursdays)
Hiring Timeline: Immediate start preferred (days, not weeks)
Headcount: 2–4 positions available
Employment Type: Full-time
A fast-moving, well-funded AI start-up based in Seattle is hiring experienced Backend Engineers to help build and scale its core product and infrastructure. This is an opportunity to contribute at an early stage, shaping a cutting-edge platform that combines robust engineering with advanced AI capabilities.
The company operates on a hybrid basis, combining remote flexibility with in-person collaboration twice a week. Candidates should be based in (or open to relocating to) the Greater Seattle Area.
🔧 Key Responsibilities
Develop core backend systems: Build and maintain the services and infrastructure that power an intelligent, AI-driven application.
Explore prompt engineering: Work with large language models to refine performance using advanced prompting techniques — no deep ML research required.
Scale machine learning infrastructure: Design scalable, reliable systems and data pipelines using tools like GCP, Terraform, Vertex AI, and SageMaker.
Productionize ML models: Collaborate with data scientists to deploy and maintain models in production, ensuring reliability, observability, and long-term performance.
Collaborate cross-functionally: Work closely with product, engineering, and ML teams to deliver integrated solutions that align with product goals.
🧠 Tech Environment
Languages & Tools: Python, Terraform, Elasticsearch
Cloud & ML Platforms: Google Cloud Platform (GCP), Vertex AI, SageMaker
Focus Areas: Backend development, ML infrastructure, prompt engineering, observability
🎯 Ideal Candidate
Strong experience building and scaling backend systems in cloud environments
Practical understanding of deploying and operationalizing ML models
Comfortable working with infrastructure-as-code and production-grade monitoring
Enthusiastic about modern AI and willing to explore prompt engineering techniques
Based in or open to relocating to Seattle, with the ability to join in-office collaboration 2 days per week
For candidates eager to work on real-world AI applications in a hands-on, high-impact environment — this is an excellent chance to join a growing, technically strong team working at the frontier of applied AI.
Interested in hearing more? Feel free to reach out for a confidential discussion.