Jobs at Invisible Technologies

Respond to P1/P2 production incidents in a 24/7 rotation, triage infrastructure failures using Kubernetes, RabbitMQ, and PostgreSQL logs, stabilize systems, implement infrastructure fixes, escalate application issues, communicate incident status, and support system hardening and scaling improvements at senior levels.

The Enterprise Solutions Manager drives operational excellence and client success through strategic analysis, process optimization, and project management, collaborating with various teams to deliver AI solutions.

As a Principal Software Engineer, you'll design and deploy ML-powered tools, build scalable backend systems, and engage with clients for AI solutions. You'll work on R&D for innovative tools and manage cloud operations to support ML models.

Manage relationships with strategic healthcare clients, oversee complex projects, innovate operational processes, and lead large teams to improve AI training and application.

Own a platform domain end to end, defining architecture, roadmap, reliability, security, and cost standards. Build scalable multi-tenant Kubernetes infrastructure, enable self-service deployments, advance agent-native engineering practices, and develop tooling for safe agent execution. Partner with engineering teams to translate infrastructure needs into reusable capabilities, mentor engineers, lead design decisions, and manage on-call and post-incident processes.

Build and operate the company’s platform infrastructure, including Kubernetes, infrastructure as code, CI/CD, identity, secrets, networking, observability, and developer tooling. Responsibilities include operating production services, supporting agent infrastructure, improving alerting, participating in incident response, and creating self-service capabilities. The role requires strong Kubernetes and cloud experience, Terraform, Helm, GitOps, Python, AI coding-agent expertise, sound engineering judgment, written communication, and comfort with ambiguity.

Leads operational delivery for complex enterprise AI engagements, aligning commercial, engineering, and executive client stakeholders. Owns multi-workstream execution, agile delivery ceremonies, requirements scoping, risk mitigation, KPI and ROI analysis, process design, and business cases. Partners with technical leads on strategic deployments, structures ambiguous challenges into scalable frameworks, advises senior clients, and mentors Enterprise Solutions Managers and delivery teams.

Leads enterprise client engagement, solution design, operational process creation, cross-functional project delivery, workflow optimization, team reviews, staff mentoring, performance analysis, and real-time analytics initiatives. The role bridges enterprise clients, global talent, and internal product, engineering, and operations teams while building scalable processes and supporting the launch of a next-generation marketplace.

The Enterprise Solutions Specialist drives client success through project management and operational oversight, ensuring scalable processes and effective communication between teams. This role involves direct client engagement and supports automation initiatives.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Lead end-to-end AI solutions as a forward-deployed engineer: scope, design, and deploy ML/LLM systems; partner with clients and stakeholders; build infrastructure, data pipelines, and reusable platform components; mentor engineers; own projects from discovery through production and provide on-call support.

As a Senior Software Engineer, you'll build and deploy AI-powered solutions, collaborating with clients to optimize workflows, design systems, and handle ambiguous problems.

The Staff Software Engineer will develop and maintain AI/ML systems, oversee cloud operations, engage with clients, and participate in R&D to enhance AI capabilities.

Lead high-impact AI solutions, overseeing architecture and deployment. Partner with stakeholders, coach engineers, and drive project success from inception to launch.

As a Senior Product Manager, you will lead project discovery, collaborate with enterprise clients, design AI solutions, and ensure successful project delivery while managing client relationships and team coordination.