E-Solutions

• Design, develop, and deploy scalable web applications across frontend and backend systems.
• Own core product architecture, ensuring performance, reliability, and maintainability.
• Build and integrate AI solutions, including agent frameworks, RAG pipelines, and vector databases.
• Optimize database performance, caching, and distributed data processing.
• Implement CI/CD pipelines, infrastructure automation, and container orchestration.
• Establish robust monitoring, logging, and distributed tracing practices.

Required Technical Skills

• Backend Engineering: Proficiency in Go, Python, or Java.
• Databases: PostgreSQL, MongoDB, and Redis, including query optimization and caching.
• Cloud & DevOps: Docker, Kubernetes, Terraform, Ansible, and CI/CD.
• AI Engineering: Experience with AI agents, RAG architectures, and vector databases.
• Monitoring & Observability: Prometheus, Grafana, and OpenTelemetry or Jaeger.
• Computer Science Fundamentals: Data structures, algorithms, concurrency, complexity analysis, and distributed systems.