Invisible Technologies
Invisible Technologies makes AI work. Our platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries — from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Invisible, profitable for over half a decade, reached $134m in revenue and ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.
Open Positions at Invisible Technologies
8 open positions
The Senior DevOps Engineer will own a domain of Invisible’s platform, shaping its architecture, roadmap, reliability, security, and cost. The role focuses on multi-tenant Kubernetes infrastructure, platform security, infrastructure automation, and advancing safe agent-native engineering practices.
DevOps Engineer on Invisible’s Platform team, owning the infrastructure, developer tooling, and agent infrastructure that supports engineering teams and AI coding agents. The role combines Kubernetes and cloud operations, infrastructure as code, observability, incident response, and platform abstractions.
Build and deploy AI-powered workflows for clients as a hands-on Forward Deployed Engineer, combining software engineering, LLM development, and technical consulting. You’ll own ambiguous projects end-to-end and turn messy operational problems into scalable solutions.
Lead the design and deployment of high-impact AI systems directly with enterprise clients, combining hands-on engineering, architecture, and technical consulting. This staff-level role owns delivery from discovery through launch while mentoring engineers and building reusable AI infrastructure.
Build and deploy production AI/ML systems, backend platforms, and agentic AI applications while working directly with enterprise clients. This forward-deployed role combines hands-on engineering, cloud and MLOps work, and client use-case discovery in New York.
Lead the architecture and delivery of AI-powered backend systems that transform critical enterprise workflows. This hands-on forward-deployed role combines AI engineering, software development, technical consulting, and client-facing ownership.
Build and deploy AI-powered workflows for enterprise clients as a hands-on Forward Deployed Engineer. You’ll combine Python, LLMs, retrieval systems, data infrastructure, and technical consulting to turn ambiguous operational problems into scalable solutions.
Build and deploy production AI/ML systems as a principal engineer embedded with high-impact enterprise clients. This role combines backend engineering, cloud infrastructure, agentic AI development, and hands-on client discovery and delivery.