Full-Time

Software Engineer

Machine Learning

Updated on 7/23/2026

Collinear AI

Collinear AI

1-10 employees

Simulated labs for enterprise AI testing

Compensation Overview

$150k - $300k/yr

+ Equity + Bonuses

Sunnyvale, CA, USA

In Person

Category
AI & Machine Learning (1)
Software Engineering (2)
,
Required Skills
LLM
Kubernetes
FastAPI
Python
React.js
NoSQL
SQL
Machine Learning
Docker
AWS
Jenkins
Next.js

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Requirements
  • Bachelor’s or Master’s degree in Computer Science/Engineering, or a related field
  • Experience in full stack development with a focus on both frontend and backend technologies
  • Proficiency in JavaScript frameworks (React/Next.js) for frontend development
  • Strong backend development skills in Python (FastAPI) or similar languages
  • Experience with DevOps tools such as Jenkins, AWS, Docker, and Kubernetes for CI/CD pipelines
  • Hands-on experience with testing frameworks and a Test-Driven Development (TDD) approach
  • Expertise in SQL and NoSQL databases, with a solid understanding of database design and optimization
Responsibilities
  • Develop scalable, responsive web applications using modern frontend frameworks (React/Next.js)
  • Design and implement high-performance backend solutions using Python and FastAPI, ensuring reliability and scalability
  • Collaborate with cross-functional teams to define features, enhancements, and deliver product updates
  • Implement and maintain DevOps best practices for continuous integration and deployment using tools like Jenkins, AWS, Docker, and Kubernetes
  • Write and maintain comprehensive unit, integration, and end-to-end tests using testing frameworks
  • Troubleshoot and debug frontend and backend issues, ensuring timely resolution and system optimization
  • Work with both SQL and NoSQL databases, optimizing queries for efficient data management
  • Collaborate with AI/ML teams to build and deploy applications leveraging NLP and LLM technologies
Desired Qualifications
  • Experience in AI/ML or NLP/LLM projects is highly desirable
  • Contributions to open-source projects, with an active GitHub portfolio showcasing innovation and expertise, are preferred
  • Prior experience in top-tier technology companies or startups is a plus

Collinear AI builds simulation labs where AI agents learn enterprise work before going to production. The labs provide realistic enterprise environments: enterprise APIs, users who push back and change their minds, tasks with real-world ambiguity, and verifiers that score what actually matters. This lets teams stress-test AI agents and continuously improve them after deployment. Collinear AI collaborates with frontier AI labs and large enterprise AI teams such as ServiceNow, IBM, HUMAIN, and Zoho. Their goal is to help organizations verify and improve AI agents in reproduceable, controlled settings before they are used in production.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

Mountain View, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Enterprise teams need pre-production testing for Jira, ServiceNow, and similar workflows.
  • Regulated verticals value on-prem deployment and inspection-grade guardrails.
  • Post-training loops turn failures into targeted fine-tuning data.

What critics are saying

  • OpenAI, Anthropic, and Google bundle native evaluation and guardrail tools.
  • Cloud marketplaces can demote small vendors and surface direct competitors.
  • Simulation fidelity failures destroy trust, renewals, and expansion in production environments.

What makes Collinear AI unique

  • Collinear runs sandboxed simulations for agents before production deployment.
  • Its AI Judges provide continuous evaluation across safety, reliability, and compliance metrics.
  • TraitMix generates persona-driven, multi-turn interactions for realistic enterprise testing.

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Benefits

Company Equity

Performance Bonus