Top Tech Jobs & Startup Jobs in Boston, MA

Lead design and deployment of production AI systems: architect model serving, inference, evaluation, and optimization pipelines; improve latency, throughput, quality, and cost; lead cross-team AI initiatives; set engineering standards; mentor engineers; partner on AI strategy and evaluate emerging models and infrastructure.

Lead complex customer deployments: build, deploy, and customize production software; develop integrations, automation, and tooling; troubleshoot across application and infrastructure layers; translate customer feedback into product requirements; own projects end-to-end and create reusable, scalable deployment solutions while advising customers.

Lead complex technical deployments for enterprise customers: build, deploy, and customize production solutions; develop integrations, automation, and tooling; troubleshoot across application and infrastructure layers; partner with Product and Engineering; own projects from discovery through deployment and scale reusable solutions.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Build and maintain production-grade React+TypeScript web interfaces for data-intensive, real-time AI products. Own end-to-end frontend features, optimize UI performance for large datasets, collaborate with design and backend teams, establish frontend best practices, improve architecture and tooling, and resolve production issues across browsers and devices.

Owner/implementer of end-to-end full stack features for data-intensive AI products: design and build scalable Node.js backends, REST APIs, and React+TypeScript frontends; optimize performance; establish testing, observability, and CI/CD; collaborate with product, design, and ML teams; debug and support production systems.