Backend Software Engineer (AI Systems & Automation)
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- Philippines
- Permanent
- Full-time
- You will be paid in USD (bi-monthly: every 15th and 30th)
- Paid Time Off in accordance with company policy
- 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, engineering, and enterprise clients
- Spend more than 60% of your time embedded with a small number of high-value enterprise accounts through Slack and Zoom
- Engage directly with technical counterparts at enterprise customers, camera on, to understand their needs and design solutions
- Handle complex backend integrations and regulated workflows on behalf of enterprise clients
- Translate client requirements into clear technical solutions and communicate tradeoffs confidently
- Collaborate with the business team and client-side product engineers to ensure solutions land correctly
- Design and implement backend systems that integrate AI directly into production workflows
- Use Claude Code or similar AI copilots as a core part of your engineering workflow
- Build AI-powered features that support core product functionality
- Identify automation opportunities across internal and client-facing systems
- Contribute to AI architecture decisions and long-term scalability planning
- Architect and build scalable, reliable backend services
- Design APIs and service layers that support complex product and client initiatives
- Work with distributed systems, databases, and cloud infrastructure
- Improve performance, reliability, and resilience across the product
- Take ownership of technical components from design through 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
- 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
- 4+ years of professional software engineering experience in a product-focused startup environment
- Backend-leaning engineering profile with comfort pushing full stack end-to-end when the work calls for it
- Proven client-facing experience working directly with enterprise or high-value accounts in a technical capacity
- 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
- Proven ability to communicate clearly and confidently on camera with technical counterparts at enterprise or high-value accounts
- Strong system design fundamentals including databases, service architectures, and distributed systems
- Experience working in fast-paced or scaling startups
- Background in product companies rather than services, agency, or consulting-heavy environments
- Strong ownership mindset with ability to work autonomously
- Full availability during US business hours
- Experience with TypeScript, Python, or Java
- Exposure to GCP, Spanner, Redis, or similar cloud infrastructure
- Strong academic background from a reputable university
- 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
- A short Loom video (1 to 2 minutes) describing a production system where you integrated AI into backend architecture, how you used Claude Code or similar tools in your development process, and an example of a time you worked directly with a client or enterprise stakeholder to solve a technical problem
- Video Introduction - Record an video introduction to showcase your communication skills and work experience
- Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)
- Recruitment Interview - Initial screening with our talent team
- Executive Interview - Meet with senior leadership to discuss role alignment
- Client Interview - Final interview with the client team you'd be supporting
- Background & Reference Check - Professional reference verification
- Job Offer - Successful candidates receive a formal offer to join the team