Full-Stack Engineer (Intern)

Experience required: 0-2 years About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade AI and data-driven solutions that help businesses turn complex data into actionable intelligence. Our work spans AI training data, annotation workflows, automation, and scalable technology infrastructure supporting real-world AI systems. We are looking for a Full-Stack Engineer who can work across application development, backend systems, cloud infrastructure, deployment, and system reliability. The ideal candidate is someone who enjoys building things end-to-end and can take ownership from development to production. Key Responsibilities Design, develop, and maintain scalable full-stack web applications and internal platforms. Build and maintain robust backend services, REST APIs, and integrations. Develop responsive and functional frontend interfaces when required. Manage and improve cloud infrastructure, servers, networking, and deployment environments. Set up and maintain CI/CD pipelines for automated testing, deployment, and release management. Containerize applications using Docker and manage containerized workloads. Monitor application and infrastructure performance, availability, and reliability. Troubleshoot production issues and work on root-cause analysis and resolution. Implement appropriate logging, monitoring, alerting, and observability practices. Manage databases, data storage, backups, and access controls. Implement secure authentication, authorization, RBAC, and other application security practices. Collaborate with AI/ML engineers and other technical teams to deploy and integrate AI-driven applications and services. Optimize systems for performance, scalability, reliability, and cost efficiency. Automate repetitive development and infrastructure workflows. Maintain technical documentation and contribute to engineering best practices. Required Skills Strong proficiency in at least one backend language such as Python, Node.js, Java, or Go. Experience with modern frontend technologies such as React, Next.js, or similar frameworks. Strong understanding of REST APIs, backend architecture, databases, and distributed systems. Hands-on experience with Docker and containerization. Experience with CI/CD tools and deployment pipelines. Working knowledge of cloud platforms such as AWS, Azure, or GCP. Good understanding of Linux, networking, servers, and system administration. Experience with relational databases such as PostgreSQL/MySQL and familiarity with NoSQL databases is a plus. Understanding of Git, version control, branching, and collaborative development workflows. Familiarity with monitoring and logging tools. Strong debugging and problem-solving skills. Good to Have Experience with Kubernetes or other container orchestration platforms. Experience with Terraform, Ansible, or other Infrastructure-as-Code tools. Experience deploying AI/ML applications or inference services. Familiarity with cloud-native architecture and microservices. Experience with authentication systems, RBAC, API security, and secrets management. Familiarity with Redis, message queues, or event-driven architectures. Experience working with NVIDIA GPUs, AI infrastructure, or model-serving systems. Exposure to MLOps workflows and machine learning deployment. What We're Looking For Someone who can work across both software development and infrastructure. Strong ownership and ability to take a feature or system from development to production. Ability to troubleshoot independently and solve problems systematically. Comfortable working in a fast-paced environment with changing requirements. Strong communication and collaboration skills. A practical, engineering-focused mindset with an emphasis on building reliable production systems. Why Join Biz-Tech Analytics? Work on real-world AI, automation, and data-driven technology. Build and manage systems that support production AI workflows. Work closely with engineering, AI/ML, and business teams. Take meaningful ownership of infrastructure and product development. Opportunity to work across Full-Stack Engineering, DevOps, Cloud, and AI infrastructure.