AI Engineer

Spectro Cloud•San Jose, CA

8d•$160,000 - $192,000•Hybrid

About The Position

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 will require you to wear different hats; one moment you are building a technical solution, and the next you may be engaging with risk, compliance, and legal to help define guardrails for a product or tool rollout. 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 must be comfortable teaching and explaining ideas to non-technical audiences. You are 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. We are an infrastructure-focused software company, so you are expected to have a strong understanding of infrastructure, spanning cloud and bare-metal environments. 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 are seeking self-starters eager to help shape the future of this new team. We’re looking for someone who isn't afraid to share recommendations and guidance on AI initiatives and AI adoption within an organization. We face several unknowns that we must tackle together. If you enjoy working in a highly technical environment with autonomy, at a rapid pace, and with regular challenges, then this role is right for you.

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.
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 (e.g., proof-of-concept, organization-wide rollouts).
Excellent communication skills, both written and oral.
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.
Self-starter with a strong sense of ownership.
Excellent problem-solving and analytical skills, with a proactive approach to challenges.
Eligible to lawfully work in the U.S. immediately.

Nice To Haves

Preference for individuals based in San Jose, CA or Austin, TX.

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/tool rollout 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.
Teach and explain AI ideas to non-technical audiences.
Advise on AI/ML workflows and AI development practices.
Shape the future of Spectro Cloud's products.
Create automation solutions, with and without AI, to promote effective AI usage.
Propose and build sustainable solutions based on experience deploying and managing applications in production.
Share recommendations and guidance on AI initiatives and AI adoption.
Tackle unknowns and challenges within a new team.
Participate and lead office hours.