Backend Software Engineer (AI Systems & Automation)

We’re looking for an AI-enabled, product-minded Backend Software Engineer to strengthen the technical foundation of a global, digital-first higher education institution.

This is not a traditional backend role. We are looking for someone who actively integrates AI into production systems and thinks in terms of product architecture, scalability, and long-term resilience. You should be backend-leaning, comfortable owning systems end-to-end, and capable of identifying gaps and proposing improvements without waiting for direction.

AI usage must go beyond personal productivity. You must have hands-on experience integrating AI into live systems and production workflows, including practical experience using Claude Code or similar AI coding copilots in real development environments.

This role requires full alignment with US working hours.

Why You’ll Want to Join

• You will be paid in USD (bi-monthly: every 15th and 30th)
• Up to 14 days of Paid Time Off annually (starting Day 1)
• Observance of Holidays per company guidelines
• 100% remote setup so you can work wherever you’re most productive
• High-ownership engineering role inside a product-driven organization
• Opportunity to shape long-term architecture and AI-enabled workflows
• Direct collaboration with product and engineering leadership

What You’ll Work On

AI-Integrated Product Architecture

• Design and implement backend systems that integrate AI directly into production workflows
• Use Claude Code or similar AI copilots as part of your engineering workflow
• Build AI-powered features that support core product functionality
• Identify automation opportunities across internal and user-facing systems
• Contribute to AI architecture decisions and long-term scalability planning

Backend System Design and Scalability

• Architect and build scalable, reliable backend services
• Design APIs and service layers that support complex product initiatives
• Work with distributed systems, databases, and cloud infrastructure
• Improve performance, reliability, and resilience across the product

End-to-End Product Ownership

• Take ownership of technical components from design to deployment and optimization
• Collaborate with product and design teams to translate user needs into robust technical solutions
• Proactively identify bottlenecks, inefficiencies, and architectural risks
• Contribute to long-term roadmap planning and infrastructure decisions

Engineering Standards and Team Contribution

• Write clean, maintainable, well-tested code
• Contribute to CI/CD pipelines, observability, and monitoring improvements
• Participate in architectural discussions and technical trade-off decisions
• Support junior and mid-level engineers through thoughtful code reviews and mentorship

What You Bring

• 4+ years of professional software engineering experience in a product-focused startup environment
• Backend-leaning engineering profile
• Demonstrated experience integrating AI into production systems and workflows
• Practical experience using Claude Code (strongly preferred) or comparable AI coding copilots in real development environments
• Strong system design fundamentals including databases, service architectures, and distributed systems
• Experience working in fast-paced or scaling startups
• Background in product companies (not services, agency, or consulting-heavy environments)
• Strong ownership mindset with ability to work autonomously
• Comfort working during US business hours

Preferred but not strictly required:

• Experience with TypeScript, Python, or Java
• Exposure to GCP, Spanner, Redis, or similar cloud infrastructure
• Strong academic background from a reputable university

Nice to Have

• Experience building AI-powered user-facing features
• Background in EdTech or regulated industries
• Experience contributing to architectural modernization efforts
• Prior mentorship or technical leadership experience

How to Apply

Please include:

1. Your updated resume
2. A short 1 to 2 minute Loom video describing a production system where you integrated AI into backend architecture and how you used Claude Code or similar tools in your development process

Only complete applications with a Loom video will be considered.

If you are a backend-leaning engineer who integrates AI into real systems, uses modern AI coding tools effectively, and thrives in fast-moving product environments, this role offers architectural influence and meaningful technical ownership.

Application Process Overview

Our comprehensive selection process ensures we find the right fit for both you and our clients:

1. Initial Application - Submit your application and complete our prequalifying questions
2. Video Introduction - Record an video introduction to showcase your communication skills and work experience
3. Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)
4. Recruitment Interview - Initial screening with our talent team
5. Executive Interview - Meet with senior leadership to discuss role alignment
6. Client Interview - Final interview with the client team you'd be supporting
7. Background & Reference Check - Professional reference verification
8. Job Offer - Successful candidates receive a formal offer to join the team

Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.

We’re looking for an AI-enabled, product-minded Backend Software Engineer to strengthen the technical foundation of a global, digital-first higher education institution.This is not a traditional backend role. We are looking for someone who actively int...

We’re looking for an AI-enabled, product-minded Backend Software Engineer to strengthen the technical foundation of a global, digital-first higher education institution.

This is not a traditional backend role. We are looking for someone who actively integrates AI into production systems and thinks in terms of product architecture, scalability, and long-term resilience. You should be backend-leaning, comfortable owning systems end-to-end, and capable of identifying gaps and proposing improvements without waiting for direction.

AI usage must go beyond personal productivity. You must have hands-on experience integrating AI into live systems and production workflows, including practical experience using Claude Code or similar AI coding copilots in real development environments.

This role requires full alignment with US working hours.

Why You’ll Want to Join

• You will be paid in USD (bi-monthly: every 15th and 30th)
• Up to 14 days of Paid Time Off annually (starting Day 1)
• Observance of Holidays per company guidelines
• 100% remote setup so you can work wherever you’re most productive
• High-ownership engineering role inside a product-driven organization
• Opportunity to shape long-term architecture and AI-enabled workflows
• Direct collaboration with product and engineering leadership

What You’ll Work On

AI-Integrated Product Architecture

• Design and implement backend systems that integrate AI directly into production workflows
• Use Claude Code or similar AI copilots as part of your engineering workflow
• Build AI-powered features that support core product functionality
• Identify automation opportunities across internal and user-facing systems
• Contribute to AI architecture decisions and long-term scalability planning

Backend System Design and Scalability

• Architect and build scalable, reliable backend services
• Design APIs and service layers that support complex product initiatives
• Work with distributed systems, databases, and cloud infrastructure
• Improve performance, reliability, and resilience across the product

End-to-End Product Ownership

• Take ownership of technical components from design to deployment and optimization
• Collaborate with product and design teams to translate user needs into robust technical solutions
• Proactively identify bottlenecks, inefficiencies, and architectural risks
• Contribute to long-term roadmap planning and infrastructure decisions

Engineering Standards and Team Contribution

• Write clean, maintainable, well-tested code
• Contribute to CI/CD pipelines, observability, and monitoring improvements
• Participate in architectural discussions and technical trade-off decisions
• Support junior and mid-level engineers through thoughtful code reviews and mentorship

What You Bring

• 4+ years of professional software engineering experience in a product-focused startup environment
• Backend-leaning engineering profile
• Demonstrated experience integrating AI into production systems and workflows
• Practical experience using Claude Code (strongly preferred) or comparable AI coding copilots in real development environments
• Strong system design fundamentals including databases, service architectures, and distributed systems
• Experience working in fast-paced or scaling startups
• Background in product companies (not services, agency, or consulting-heavy environments)
• Strong ownership mindset with ability to work autonomously
• Comfort working during US business hours

Preferred but not strictly required:

• Experience with TypeScript, Python, or Java
• Exposure to GCP, Spanner, Redis, or similar cloud infrastructure
• Strong academic background from a reputable university

Nice to Have

• Experience building AI-powered user-facing features
• Background in EdTech or regulated industries
• Experience contributing to architectural modernization efforts
• Prior mentorship or technical leadership experience

How to Apply

Please include:

1. Your updated resume
2. A short 1 to 2 minute Loom video describing a production system where you integrated AI into backend architecture and how you used Claude Code or similar tools in your development process

Only complete applications with a Loom video will be considered.

If you are a backend-leaning engineer who integrates AI into real systems, uses modern AI coding tools effectively, and thrives in fast-moving product environments, this role offers architectural influence and meaningful technical ownership.

Application Process Overview

Our comprehensive selection process ensures we find the right fit for both you and our clients:

1. Initial Application - Submit your application and complete our prequalifying questions
2. Video Introduction - Record an video introduction to showcase your communication skills and work experience
3. Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)
4. Recruitment Interview - Initial screening with our talent team
5. Executive Interview - Meet with senior leadership to discuss role alignment
6. Client Interview - Final interview with the client team you'd be supporting
7. Background & Reference Check - Professional reference verification
8. Job Offer - Successful candidates receive a formal offer to join the team

Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.

We’re looking for an AI-enabled, product-minded Backend Software Engineer to strengthen the technical foundation of a global, digital-first higher education institution.This is not a traditional backend role. We are looking for someone who actively int...