Spectro Cloud logo
Spectro Cloud
Posted 24 days agoVerified live 15h ago

AI Engineer

Brief overview

Remote
UndergradOr in progress
$160k–$192k/yrStated range
4+ yrsMinimum
AI/ML WorkflowsAgent-Based SystemsModel TuningModel DeploymentMCP Server DevelopmentPythonGoJavaScript/TypeScriptApplication TestingCI/CDInfrastructure as CodeTerraformPublic Cloud ProvidersOn-Premises InfrastructureContainersKubernetesProduction Application Development and Maintenance

About the company

Spectro Cloud logo
Spectro Cloudspectrocloud.com

Spectro Cloud develops an AI infrastructure and cloud-native infrastructure management platform for enterprises.

Job description

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

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