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About the Role
As an AI Automation Engineer, you will advance AI adoption across the company by designing, building, and maintaining internal solutions that promote agentic workflows and automations to improve employee productivity. This role requires a blend of technical solution building and engagement with risk, compliance, and legal teams to define product guardrails. You will lead proof-of-concept initiatives, advise employees during AI Office Hours, and establish AI processes and guardrails with internal partners. Comfort in teaching and explaining ideas to non-technical audiences is essential.
Responsibilities
- Design, build, and maintain internally focused solutions that help promote agentic workflows and automations.
- Engage with risk, compliance, and legal to help define guardrails for a product or tool rollout.
- Lead proof-of-concept initiatives.
- Engage with employees during AI Office Hours to provide advice.
- Work with internal partners to establish AI processes and guardrails.
- Create automation solutions, with and without AI, that help promote effective AI usage within the company.
- Propose and build sustainable solutions.
Requirements
- Bachelor's Degree or an Advanced Degree in Computer Science, Information Technology, or a similar field.
- 4+ years of experience as a Software Engineer, SRE, ML Engineer, Solutions Architect, or similar technical role.
- 4+ years of experience maintaining and building production applications.
- Broad knowledge and experience across AI topics, including agent based systems, model tuning, model deployment, MCP server development, and more.
- Experience with application testing and continuous integration/continuous delivery (CI/CD).
- Project management experience, capable of leading and driving projects.
- Experience with Infrastructure as Code, preferably Terraform.
- Experience with public cloud providers (AWS, Azure, GCP, Oracle), and on-prem infrastructure.
- Deep understanding of containers and how container orchestration systems work, such as Kubernetes.
- Applicants are required to be eligible to lawfully work in the U.S. immediately; employer is unable to sponsor applicants for U.S. work authorization for this opportunity.
Skills
- Python
- Go
- JavaScript/TypeScript
- Terraform
- AWS
- Azure
- GCP
- Oracle
- Kubernetes
- Agent based systems
- Model tuning
- Model deployment
- MCP server development
- Application testing
- Continuous integration/continuous delivery (CI/CD)
- Project management
- Communication skills (written and oral)
- Problem-solving skills
- Analytical skills
Location
- San Jose, CA
- Austin, TX
Work Type
- Hybrid
- Remote
Experience Level
- 4+ years of experience
Education Level
- Bachelor's Degree or Advanced Degree in Computer Science, Information Technology, or a similar field.
Salary/Compensations
- $160,000-192,000/year + Equity
Benefits
- Equity
About the Company
- Spectro Cloud is the Kubernetes and AI infrastructure platform behind some of the most demanding AI environments in the world.
- Our PaletteAI platform, AI Inference Launchpad, and Instinct Coder solutions let operators stand up production-grade AI clusters — training, fine tuning, and inference — on any GPU, in any data center, at any scale.
- NeoClouds and specialty GPU cloud providers are one of the fastest-growing segments in the AI economy, and Spectro Cloud is the platform layer they trust to bring differentiated, multi-tenant, GPU-native services to market.