• Build, scale and maintain the infrastructure and platform required to deliver production-grade agentic AI solutions
• Lead architecture and technical design while ensuring high availability, reliability and scalability in our systems
• Analyze customer requirements, understand enterprise data landscape and ensure data privacy and residency compliance factors in our engineering framework
• Collaborate closely with Product Managers and Tech Innovation Strategists to scope out problem statements and narrow down requirements with a laser focus on impact delivered to customers and stakeholders
• Set a high standard of excellence for engineering culture and developer experience in the team by leading code reviews, mentoring junior engineers and building stronger processes
• Participate in sprint planning, technical grooming, and retrospective discussions

Basic Qualifications

• 5+ years of experience in a software engineering role - with a strong background in backend engineering and cloud infrastructure
• 1+ years of experience building production-grade agentic AI solutions
• Proficiency in backend languages such as Python, Java, Node.js or Go and technologies such as Docker, Kubernetes and Kafka
• Strong experience in implementing APIs, working with SQL and NoSQL databases and writing E2E automated tests
• Deep understanding of cloud platforms (AWS, GCP, or Azure), able to work with self-hosted as well as managed services
• Expertise in infrastructure as code tools like Terraform and CI/CD solutions such as GitHub Actions or Jenkins
• Fervent belief in engineering quality and building technical leverage for others
  • Prior experience in leading projects and debugging complex issues with minimal supervision