Requirements:

• 4+ years of experience developing large-scale backend or infrastructure systems
• Proficiency in Python or TypeScript with API and backend architecture design experience
• Deep familiarity with cloud infrastructure (AWS, Azure), container orchestration, and Infrastructure-as-Code tools
• Experience managing data systems and building data pipelines
• Hands-on experience with GenAI applications and scaling AI workloads
• Strong understanding of observability, CI/CD, and security best practices

Nice to Haves:

• Experience in AI agent systems
• Balance of rapid iteration and production-grade quality
• Collaborative mindset

What You'll Be Doing:

• Designing, building, and scaling backend systems for enterprise GenAI products
• Developing core services and APIs for AI model integration
• Architecting scalable distributed systems for GenAI workloads
• Optimizing backend performance for enterprise scale
• Managing and evolving cloud infrastructure for large-scale AI deployments
• Collaborating with ML and product teams on deploying GenAI models
• Continuous improvement of reliability and scalability

Perks and Benefits:

• Opportunity to shape the future of enterprise AI
• Work at the forefront of the GenAI revolution
• Impact how businesses operate, innovate, and grow
• Equal employment opportunity and commitment to inclusivity