Invisible Tech

Provides first-response incident triage and infrastructure stabilization for a production platform in a 24/7 rotation. Requires enterprise experience with Kubernetes, RabbitMQ, PostgreSQL, Azure, production troubleshooting, log-based diagnosis, and calm incident communication.

Own and evolve a platform domain supporting reliable, secure, and cost-effective multi-tenant infrastructure. The role requires strong Kubernetes, cloud, Terraform, Helm, GitOps, Python, security, and agentic coding expertise, along with excellent technical judgment and communication.

Build and operate the Kubernetes-based platform infrastructure, developer tooling, CI/CD systems, and agent infrastructure used across the engineering organization. The role requires production cloud experience, strong infrastructure-as-code skills, Python proficiency, and sound engineering judgment.

Leads operational delivery for complex enterprise AI engagements, aligning commercial, client, and engineering stakeholders while building scalable processes and performance frameworks. The role requires 5–8+ years of analytical and operational leadership experience, executive client presence, strong project management, and mentoring capability.

Drives enterprise client success by scoping solutions, optimizing operational processes, and coordinating delivery across clients, talent, product, engineering, and operations teams. Requires 5+ years of client-facing enterprise experience, strong project management, data analysis, and communication skills.

Manages strategic healthcare client relationships, complex projects, large-scale teams, and AI training processes. Oversees operational delivery, process innovation, financial cycles, and ensures client needs are met through strong leadership and communication. Requires 5+ years in operations.

Lead the design, architecture, and end-to-end deployment of AI-powered solutions for client workflows as a hands-on technical consultant. Requires 8+ years building data/ML/backend systems, strong Python/LLM expertise, infrastructure skills, and ability to travel 25-50%.

Lead product initiatives for enterprise clients, translating ambiguous business needs into AI-powered solutions. Own discovery, delivery, stakeholder relationships, and cross-functional coordination in a fast-paced hybrid NYC environment.

Builds scalable backend systems and deploys ML models in production for client engagements, working embedded with top clients 3-4 days/week in New York. Requires 8+ years experience in ML engineering, Python, LLMs, cloud platforms, and client-facing work.

Leads design, architecture, and deployment of AI-driven solutions for client workflows, owning projects end-to-end while mentoring engineers. Requires 12+ years experience with Python, ML frameworks, cloud infrastructure, and client-facing skills.

Senior forward-deployed engineer builds and deploys AI-powered workflows using LLMs and ML frameworks for client operational problems. Requires 7+ years experience in Python, data/ML systems, deployment infrastructure, and client-facing skills; hybrid in NYC area.

Principal Software Engineer builds scalable backend systems for AI/ML operations, deploys production ML models, and collaborates with clients on use case discovery and AI solutions. Requires 8+ years experience in ML engineering, Python, cloud platforms, and client-facing work.