Talantix.io
Loop•08.02.26
AI SCORE 8.5

Founding Full-Stack Engineer - AI-Driven Supply Chain Solutions

$130K–$200K/year
HybridSupply Chain TechVisa
TypeScript•GraphQL•React•Node.js•AWS•GCP•Azure

About the Role

We are seeking a Founding Full-Stack Engineer to join our innovative team at Loop. This role is perfect for those looking to make a significant impact in the supply chain industry. As a Founding Full-Stack Engineer, you will work in a hybrid mode, spending three days a week in our San Francisco office. You will be instrumental in developing our modern audit and pay platform, leveraging domain-driven AI to enhance visibility and control over complex supply chain data.

What You'll Do

  • Contribute to the development of a cutting-edge audit and pay platform.
  • Collaborate with cross-functional teams including product, design, and sales to deliver high-quality, extensible code.
  • Lead technical discussions and document best design practices.
  • Drive improvements in engineering practices and provide constructive feedback on product and process.
  • Utilize AI development tools to accelerate delivery and enhance product features.

Requirements

  • Minimum 2+ years of software engineering experience.
  • Proven track record of shipping products end-to-end.
  • Familiarity with cloud environments such as AWS, GCP, or Azure.
  • Strong intellectual curiosity about supply chain and logistics.
  • Experience with AI development tools like Cursor, Codex, or Claude.

Nice to Have

  • Experience with Relay and GraphQL.
  • Knowledge of TypeScript, React, and Node.js.

What We Offer

  • Competitive base salary ranging from $130K to $200K.
  • Equity options as part of the compensation package.
  • Visa sponsorship available after six months in the role.
  • Opportunities for rapid growth and internal promotion based on impact.
  • A collaborative and innovative work environment.
Why This Job8.5 of 10

This Founding Full-Stack Engineer role at Loop offers a unique opportunity to work on AI-driven solutions in the supply chain sector. With a competitive salary and equity options, it's a great chance for growth.

Salary Range
Required
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Optional
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Bonus
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Who Will Succeed Here

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Proficient in TypeScript and React, with hands-on experience in building scalable web applications that interact with GraphQL APIs, demonstrating a solid understanding of state management in complex applications.

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Comfortable with hybrid work environments, possessing strong self-management skills to balance in-office collaboration with remote coding sessions, while also being proactive in seeking feedback and engaging with team members.

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A problem-solver with a mindset geared towards innovation in supply chain technology, eager to utilize AWS, GCP, and Azure services for deploying robust applications that leverage AI for enhanced operational efficiency.

Learning Resources

→TypeScript Documentationguide
→GraphQL Full Course - Learn GraphQLvideo
→Building Serverless Applications with AWS Lambdacourse

Career Path

Founding Full-Stack Engineer - AI-Driven Supply Chain Solutions(Now)→Lead Full-Stack Engineer(1-2 years)→Engineering Manager or Principal Engineer(3-5 years)

Market Overview

Market Size 2024
$15.8B
Annual Growth
22.5%
AI Adoption in Supply Chain
45%
Investment in AI Solutions
+150%
Labour Demand for Full-Stack Engineers
+30%
Avg Salary for Full-Stack Engineers
$120K

Skills & Requirements

Required
TypeScriptGraphQLReact
Growing in Demand
Microservices ArchitectureServerless ComputingContainerization (Docker, Kubernetes)
Declining
jQueryAngularJS 1.x

Domain Trends

Increased AI Integration
The integration of AI in supply chain management is expected to increase by 45% by 2025, driving demand for engineers skilled in AI-driven technologies.
Rise of Serverless Architectures
Serverless computing adoption is projected to grow by 35% over the next two years, making skills in AWS Lambda and Azure Functions increasingly valuable.
Shift to Real-Time Data Analytics
Real-time analytics in supply chain operations are predicted to grow by 50% by 2024, emphasizing the need for engineers proficient in GraphQL and real-time data processing.

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