***This is an unpaid internship at this time and is suitable for new recent Master's graduate candidates that wants to be a Senior Full-Stack Engineer.***
***This is an unpaid internship at this time and is suitable for new recent Master's graduate candidates that wants to be a Senior Full-Stack Engineer.***
***This is an unpaid internship at this time and is suitable for new recent Master's graduate candidates that wants to be a Senior Full-Stack Engineer.***
Company Overview:
Flow Global Software Technologies, LLC., operating in the Information Technology (IT) sector, is a cutting-edge high-tech enterprise AI company that engages in the design, engineering, marketing, sales, and 5-star support of cloud-based SaaS AI sales platforms, with patent pending artificial intelligence, deep learning, and other proprietary technologies awaiting patent approval. The company's first product, Flow Turbo™, is a future-generation SaaS AI sales prospecting platform that is designed to maximize the productivity day-to-day for B2B sales reps within B2B outbound, inbound, and inside sales organizations. The company also provides world-class award-winning customer support, professional services, and advisory services. The company is headquartered in Austin, Texas and is registered in Delaware.
Position Overview:
Flow is seeking highly experienced and highly dedicated Senior Full-Stack Engineer Interns to join our world-class engineering organization. This position demands extensive full-stack engineering experience in building highly scalable, high-performance AI solutions using the latest industry frameworks and technologies, with a particular focus on React, Redux, Hooks, advanced React state management, and specifically Django, with candidates possessing exceptional technical expertise in architecting and developing, and delivering on complex, scalable, and high-performance AI solutions. This role involves building and maintaining full-stack architectures, where the seamless integration of advanced client-side frameworks, such as React with Redux, Hooks, and advanced state management libraries, interfaces with the high-performance server-side back-end with Django. Candidates are expected to deliver on systems capable of processing massive volumes of real-time data with an emphasis on precision, speed, and efficiency, leveraging cutting-edge caching strategies, distributed architectures, and fault-tolerant design patterns.
The core responsibilities include designing, implementing, and optimizing RESTful APIs and real-time APIs to support mission-critical requirements. This involves defining efficient and hierarchical API routes, constructing modular and secure API endpoints, and integrating these interfaces with external and internal systems for maximum interoperability. Advanced API development encompasses implementing idempotent API calls, optimizing payload structures, designing hypermedia-driven resources, and ensuring adherence to industry standards. Mastery of real-time data synchronization technologies such as WebSockets, Server-Sent Events (SSE), and Django Channels is essential to provide ultra-low latency bidirectional communication and to support event-driven architectures in dynamic environments.
An important aspect of this role is leveraging advanced caching mechanisms—both server-side and client-side—to minimize redundant computations and API calls. The use of in-memory data stores such as Redis or Memcached, combined with efficient cache invalidation strategies (e.g., time-based, write-through, and lazy loading), ensures high throughput and reduced latency under heavy concurrent loads. Interns will also manage complex state across distributed systems, using patterns such as CQRS (Command Query Responsibility Segregation) and event sourcing to handle consistency and scalability challenges in a highly decoupled system.
On the back end, the role includes crafting robust, scalable microservices architectures, implementing data persistence layers with advanced indexing, sharding, and partitioning strategies, and ensuring transactional integrity with distributed databases. Real-time systems require mastery in asynchronous task execution with tools such as Celery or RabbitMQ, allowing background processing of resource-intensive operations while maintaining responsiveness. Further, the development process involves end-to-end tracing, profiling, and benchmarking APIs using tools like Postman, k6, or Grafana Loki to measure performance and identify bottlenecks.
Cloud-native engineering expertise is critical, including the deployment of containerized services using Docker and orchestration with Kubernetes for auto-scaling, load balancing, and resource optimization. Interns will work with CI/CD pipelines for automated testing, integration, and deployment, ensuring that new features and bug fixes are delivered rapidly and reliably. Knowledge of observability stacks (e.g., Prometheus, ELK) is required to monitor and diagnose issues in real-time, ensuring the system's uptime and responsiveness under varying workloads.
On the front end, candidates must ensure the efficient rendering of data-heavy components through React’s reconciliation engine, employing memoization, lazy loading, and virtual DOM optimizations. State management solutions must handle intricate data flows, including integrating complex reducers, middleware like Redux-Saga or Redux-Thunk, and interfacing with GraphQL for more dynamic client-server interactions.
Front-end responsibilities involve the expert implementation of Redux for advanced state management, enabling efficient data flows, seamless integration with APIs, and real-time updates. The ability to design and implement reducers, selectors, and asynchronous action handlers will be essential, as will experience in optimizing React components for performance using techniques such as memoization, lazy loading, and the reconciliation engine. Redux middleware expertise will play a crucial role in managing complex workflows, handling side effects, and ensuring deterministic application behavior under varying conditions.
This is an unparalleled opportunity to apply advanced engineering practices in production-level environments, mastering the latest industry frameworks and technologies while contributing to the creation of world-class AI platforms, mastering skills in areas such as API design, cloud infrastructure, continuous integration, and responsive design. Ideal candidates will need to possess a deep expert understanding of React frameworks for front-end development, expertise in RESTful API architectures, and advanced knowledge of back-end technologies, specifically with Django for building scalable, secure AI solutions. This position is ideal for candidates who are new graduates that recently obtained a Master's degree in Computer Science, with 3+ years of deep professional industry experience in full-stack engineering. The internship is remote-only and requires a commitment of at least 30 hours per week.
***MUST BE ABLE TO COMMIT STAYING AT THE COMPANY FOR AT LEAST A BARE MINIMUM OF 6 MONTHS.***
API Design and Development:
Caching and Performance Optimization:
Front-End Development:
Back-End Engineering:
Real-Time Systems Development:
Cloud Infrastructure and CI/CD:
Manage cloud infrastructure services to ensure live production deployments are secure, scalable, and efficient.
Deploy and manage AI solutions in any cloud environment.
Collaboration and Documentation:
Collaboration: Work closely with design and product teams to translate UI/UX designs into high-quality code and ensure seamless integration of front-end and back-end functionalities.
Documentation: Create and maintain documentation for the development process, including architecture, codebase, and APIs.
Qualifications:
Previous Experience:
Technical Expertise:
Architectural Skills:
Performance and Scalability:
Security and Best Practices:
Technical Skills:
Remote Work: Ability to work remotely with a minimum commitment of 30 hours per week.
Note:
This internship offers a unique opportunity to gain hands-on experience in full-stack development within a dynamic and innovative environment. Candidates must be self-motivated, proactive, and capable of delivering high-quality results independently. The internship provides valuable exposure to cutting-edge technologies and professional industry development practices, making it an ideal opportunity for aspiring senior full-stack engineers.
***This is an unpaid internship at this time and is suitable for new recent Master's graduate candidates that wants to be a Senior Full-Stack Engineer.***
Please send resumes to services_admin@flowai.tech