Senior AI Platform Engineer – Telemetry & Observability

Cribl; Little Rock (AR); Remote; USD 185,000 - 215,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Short-term disability

Life insurance

Paid holidays

Paid time off

Fertility treatment benefit

401(k)

Equity

Job summary

Cribl, a fast-growing remote-first B2B SaaS company, seeks an experienced software engineer to help bring AI features into Cribl’s product suite. You will design, build, and productionize end-to-end AI integrations across frontend surfaces and backend services, collaborating with product, design, and engineering teams to deliver impactful capabilities.

You will stay current with AI technologies, work with partners and stakeholders, and help scale systems for enterprise observability needs while

Qualifications

• 5+ years of professional software engineering experience building AI features end to end in production across product, backend, and model integration layers.
• Proven fullstack experience with React-based UIs and backend services or APIs.
• Experience with integrating external AI tools and data sources in production environments.

Responsibilities

• Productionize, launch, and operate AI-based technology integrations into Cribl’s core products.
• Partner with product & design leaders to prototype and experiment with new AI features.
• Stay up-to-date with the latest AI technologies and trends

Skills

AI features

Fullstack engineering

React UI

Backend services

TypeScript

Node.js

Go

Java

Tools

React

Node.js

Go

Java

Job description

Cribl, a fast-growing remote-first B2B SaaS company, seeks an experienced software engineer to help bring AI features into Cribl’s product suite. You will design, build, and productionize end-to-end AI integrations across frontend surfaces and backend services, collaborating with product, design, and engineering teams to deliver impactful capabilities.

You will stay current with AI technologies, work with partners and stakeholders, and help scale systems for enterprise observability needs while