Staff / Principal Platform Engineer
Inworld AI develops AI products for growing applications, helping developers go from prototype to production faster. Their offerings include advanced text-to-speech (TTS) technology and an upcoming Runtime product, aimed at enhancing consumer applications with expressive, real-time voice AI.
Maintainer signals as of 8/23/2026
Funding history
About Inworld AI
Inworld develops AI products for consumer applications. They offer a text-to-speech model that aims for high quality with better pricing, lower latency, more control, local serving options, and open training code. They also have a product called Inworld Runtime, which is currently in private preview. Their services are used by partners like XBOX, Ubisoft, NVIDIA, and Meta. They focus on helping developers go from prototype to production faster and increase experimentation velocity to deploy new AI improvements daily.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own the end-to-end development, security, and scaling of Inworld's AI product infrastructure across major cloud providers. Partner with engineers to deploy services, improve engineering workflows, and shape operational practices.
Requirements
- 8-10 years of experience in software engineering.
- 3+ years of experience with infrastructure-as-code.
- Proficiency managing Kubernetes clusters and applications, including Kustomize manifests and Helm charts.
- Experience creating and maintaining CI/CD pipelines for application and infrastructure deployments using tools such as Terraform, Terragrunt, ArgoCD, GitHub Actions, and Ansible.
- Deep knowledge of at least one major cloud provider: Google Cloud Platform, Microsoft Azure, or Oracle Cloud.
- Proficiency in at least one backend programming or scripting language such as Golang, Python, or Bash.
- Must be based in the SF Bay Area or willing to relocate; the role requires working onsite in the South Bay office a few days per week.
Responsibilities
- Design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for TTS and LLM Router.
- Build AI-powered tooling and workflows that improve software development and deployment.
- Provide tools and processes for monitoring service reliability, availability, and performance.
- Manage code integration and deployment pipelines.
- Conduct root cause analysis and automate solutions to prevent recurring issues.
Benefits
- Equity
