Summary
Spectro Cloud is a Kubernetes and AI infrastructure platform that supports demanding AI environments. The AI Engineer will advance internal AI adoption by building AI-driven workflows and automations, leading proof-of-concept initiatives, advising employees, and establishing AI processes and guardrails with internal partners.
Responsibilities
- You will design, build, and maintain internally focused solutions that help promote agentic workflows and automations that improve employee productivity
- You will lead proof-of-concept initiatives, engage with employees during AI Office Hours to provide advice, and work with our internal partners to establish AI processes and guardrails
- You will be expected to have experience with various AI/ML workflows and AI development practices, primarily to advise, but also to shape the future of our products
- You should be comfortable creating automation solutions, with and without AI, that help us promote effective AI usage within the company
- Experience deploying and managing applications in production will help you propose and build sustainable solutions
- We’re looking for someone who isn't afraid to share recommendations and guidance on AI initiatives and AI adoption within an organization
Skills
- • 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 is required
- • 4+ years of experience maintaining and building production applications
- • Possesses a broad knowledge and experience across AI topics, including agent based systems, model tuning, model deployment, MCP server development, and more
- • Highly proficient with at least one of the following programming languages: Python, Go, or JavaScript/TypeScript
- • Experience with application testing and continuous integration/continuous delivery (CI/CD). This will come into play as you build and maintain solutions the AI team will own and support
- • Project management experience. You are capable of leading and driving projects, such as proof-of-concept and the rollout of a new technical solution organization-wide
- • Excellent communication skills, both written and oral. You will be expected to participate and lead office hours. You must be able to articulate technical concepts to engineers, non-engineers, and executives
- • 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
- • Displays a 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
- Remote candidates can be considered
- 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
- We prefer Go
- Preference will be given to individuals based in San Jose, CA or Austin, TX
Qualifications
Must Haves
- • 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 is required
- • 4+ years of experience maintaining and building production applications
- • Possesses a broad knowledge and experience across AI topics, including agent based systems, model tuning, model deployment, MCP server development, and more
- • Highly proficient with at least one of the following programming languages: Python, Go, or JavaScript/TypeScript
- • Experience with application testing and continuous integration/continuous delivery (CI/CD). This will come into play as you build and maintain solutions the AI team will own and support
- • Project management experience. You are capable of leading and driving projects, such as proof-of-concept and the rollout of a new technical solution organization-wide
- • Excellent communication skills, both written and oral. You will be expected to participate and lead office hours. You must be able to articulate technical concepts to engineers, non-engineers, and executives
- • 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
- • Displays a 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
- Remote candidates can be considered
- 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
Nice to Haves
- We prefer Go
- preference will be given to individuals based in San Jose, CA or Austin, TX
Benefits
- Equity
- Hybrid working model, with 3 days in the office and optional work from home for the remainder of the week