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About the Role
As an AI engineer, you will be part of internal efforts to advance AI adoption across the company. You will design, build, and maintain internally focused solutions that help promote agentic workflows and automations that improve employee productivity. This role requires wearing multiple hats, from building technical solutions to engaging with risk, compliance, and legal teams to define product guardrails. You will lead proof-of-concept initiatives, engage with 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. Experience with various AI/ML workflows and development practices is expected for advising and shaping future products. A strong understanding of infrastructure, spanning cloud and bare-metal environments, is necessary. You should be comfortable creating automation solutions, with and without AI, to promote effective AI usage within the company. Experience deploying and managing production applications will aid in proposing and building sustainable solutions. We seek self-starters eager to shape the future of this new team, unafraid to share recommendations and guidance on AI initiatives and adoption. If you enjoy a highly technical environment with autonomy, rapid pace, and regular challenges, this role is for you.
Responsibilities
- Design, build, and maintain internally focused AI solutions.
- Promote agentic workflows and automations to improve employee productivity.
- Engage with risk, compliance, and legal teams to define product guardrails.
- 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, to promote effective AI usage.
- Propose and build sustainable solutions leveraging experience in deploying and managing production applications.
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.
- Highly proficient with at least one of the following programming languages: Python, Go, or JavaScript/TypeScript (Go preferred).
- Experience with application testing and continuous integration/continuous delivery (CI/CD).
- Project management experience, capable of leading and driving projects like proof-of-concept and new technical solution rollouts.
- Excellent communication skills, both written and oral, for articulating technical concepts to diverse audiences.
- 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 container orchestration systems like Kubernetes.
- Passion for learning and exploring new technologies.
- A self-starter with a strong sense of ownership.
- Excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Applicants must be eligible to lawfully work in the U.S. immediately.
- Employer is unable to sponsor applicants for U.S. work authorization.
Skills
- AI/ML workflows
- AI development practices
- Infrastructure (cloud and bare-metal)
- Automation solutions
- Agent-based systems
- Model tuning
- Model deployment
- MCP server development
- Python
- Go
- JavaScript/TypeScript
- Application testing
- CI/CD
- Project management
- Communication (written and oral)
- Infrastructure as Code (Terraform preferred)
- Public cloud providers (AWS, Azure, GCP, Oracle)
- On-prem infrastructure
- Containers
- Kubernetes
- Problem-solving
- Analytical skills
Location
- San Jose, CA
- Austin, TX
Work Type
- Hybrid
- Remote (preference for San Jose, CA or Austin, TX)
Experience Level
- 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
Education Level
- Bachelor's Degree or an 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, finetuning, 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.