***This is an unpaid internship at this time and is suitable for completed Master's graduates that wants to be a Senior Full-Stack Engineer.***
***This is an unpaid internship at this time and is suitable for completed Master's graduates that wants to be a Senior Full-Stack Engineer.***
***This is an unpaid internship at this time and is suitable for completed Master's graduates that wants to be a Senior Full-Stack Engineer.***
***This is an unpaid internship at this time and is suitable for completed Master's graduates that wants to be a Senior Full-Stack Engineer.***
***This is an unpaid internship at this time and is suitable for completed Master's graduates 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 a cloud-based enterprise AI platform with patent pending artificial intelligence, deep learning, and other core proprietary technologies awaiting patent approval. Flow Turbo™, the company's first product, is a brand of next-generation SaaS AI sales prospecting platform that is designed to maximize the productivity day-to-day for B2B sales representatives within B2B outbound, inbound, and inside sales organizations of B2B companies. The company also provides world-class award-winning customer support, professional services, guidance, certifications, training, 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 platforms using the latest industry frameworks and technologies, with a particular focus on Python, Django, and with specific front-end languages especially with React, Redux, Hooks, and advanced React state management, This is a highly technical and demanding role, where you will be working with advanced technologies in Django, API development, cloud infrastructure, and database design.
This role demands high product engineering velocity, and extensive experience with complex back-end engineering with a primary focus on Django development, coupled with deep expertise in API development, systems architecture, and advanced database design, with candidates possessing exceptional technical architecture and database expertise in architecting and developing, and delivering on complex, scalable, and high-performance AI platforms. 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.
As a Senior Full-Stack Engineer Intern, you will need to have unparalleled experience and expertise in designing, building, and optimizing real-time, high-performance, and scalable back-end systems. This role demands mastery in architecting high-performance server-side infrastructures that seamlessly integrate with Flow’s AI solutions, ensuring ultra-low-latency communication, fault tolerance, and the efficient handling of concurrent operations at scale. The successful candidate will play a pivotal role in engineering complex, mission-critical back-end frameworks while working at the cutting edge of real-time data processing, advanced caching mechanisms, and API development. This position offers an unparalleled opportunity to influence the architecture of enterprise-grade AI solutions, leveraging the latest advancements in cloud-native technologies, containerized deployments, and scalable data-driven pipelines.
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.
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.
As a Senior Full-Stack Engineer Intern, you will be responsible for implementing and delivering on production-grade back-end systems optimized for high-throughput operations. Your work will focus extensively on Django as the back-end framework, where you will design robust, modular, and extensible API architectures. This includes creating RESTful API endpoints, optimizing API routes, handling complex API integrations, and ensuring secure and performant real-time API connections using WebSockets or similar technologies. Your ability to implement advanced API call patterns, such as batching, rate-limiting, and fault-tolerant retries, will be essential for maintaining the stability and scalability of distributed systems. Furthermore, you will design dynamic middleware layers and leverage reverse proxies like Nginx to ensure secure, load-balanced, and efficiently routed API traffic.
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.
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.
A key aspect of this role involves implementing state-of-the-art caching strategies to optimize real-time data retrieval and processing. You will work with technologies like Redis to implement real-time caching solutions for session management, query caching, and data prefetching, ensuring minimal latency across all system layers. Advanced caching techniques, such as cache sharding, partitioning, and write-behind caching, will be crucial for maintaining consistency and accelerating response times in high-concurrency scenarios. Additionally, you will implement efficient in-memory data stores to support real-time analytics and instantaneous data updates across distributed nodes.
Database management will involve designing high-performance schemas in PostgreSQL and optimizing queries for transactional and analytical workloads. You will engineer solutions for efficient data partitioning, replication, and indexing to handle terabytes of data with minimal overhead while ensuring ACID compliance. Moreover, you will implement robust data flow pipelines, employing ETL techniques and data streaming frameworks to enable real-time synchronization across microservices. Expertise in handling multi-cloud database integrations and deploying fault-tolerant solutions with automatic error handling mechanisms will also be key to success.
Your role will further encompass implementing comprehensive authentication and authorization protocols, including OAuth2.0, JWT, and SSO, ensuring secure access to APIs and sensitive resources. You will enhance system security by designing and enforcing encryption standards, audit trails, and role-based access controls, aligning with industry best practices for compliance and data protection. Additionally, your expertise in continuous integration and delivery pipelines will drive seamless cloud-based deployments, with experience in containerization technologies like Docker and orchestration platforms like Kubernetes being integral to achieving high system reliability and scalability.
This position demands rigorous adherence to quality assurance practices, including designing unit, integration, and regression test suites for back-end services and APIs. You will also implement real-time monitoring and observability frameworks, leveraging tools such as SonarQube, Prometheus, and ELK stacks to ensure proactive fault detection and resolution. A deep understanding of Linux-based environments and scripting languages for automating server management will round out your skill set.
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.
This is an unparalleled opportunity to apply advanced engineering practices in staging and live 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 5-6+ years of deep professional industry experience in full-stack engineering. The internship is remote-only, requires a commitment of at least 40 hours per week, and requires a commitment to staying with the company for at least a very bare minimum of 6 full months.
Key Responsibilities:
API Design and Development:
Architect and implement scalable, secure, and reusable APIs to support real-time and asynchronous data communication.
Define API endpoints and routes using RESTful best practices and integrate with external and internal services.
Develop robust middleware and error-handling mechanisms to ensure fault-tolerant API operations.
Design and manage real-time WebSocket APIs and streaming connections for low-latency communication.
Testing & QA: Perform test-driven development (TDD), unit testing, integration testing, regression testing, and API testing to ensure high-quality, secure code.
Caching and Performance Optimization:
Leverage advanced caching strategies (e.g., Redis, Memcached) to minimize database load and reduce response times.
Implement client-side and server-side caching solutions for optimal performance.
Develop techniques to handle cache invalidation and synchronization across distributed systems.
Front-End Development:
Build responsive, highly-interactive UIs using React, Redux, and Hooks to deliver an intuitive user experience.
Optimize component rendering and state management for real-time data flows.
Integrate front-end interfaces seamlessly with back-end APIs while ensuring cross-browser and cross-platform compatibility.
Testing & QA: Perform test-driven development (TDD), unit testing, integration testing, regression testing, and API testing to ensure high-quality, secure code.
Back-End Engineering:
Develop and manage scalable, modular server-side architectures using Django and associated libraries.
Implement authentication and authorization systems, ensuring compliance with industry security standards (e.g., OAuth, OAuth2.0, JWT).
Expert with database design, ER diagramming, database normalization, and complex database management and database administration.
Optimize database interactions using ORM techniques and raw SQL queries for complex data modeling.
Testing & QA: Perform test-driven development (TDD), unit testing, integration testing, regression testing, and API testing to ensure high-quality, secure code.
Real-Time Systems Development:
Build and manage real-time data pipelines to support use cases requiring instant updates.
Integrate with real-time frameworks such as Django Channels or Socket.IO to enhance live interaction features.
Ensure high availability and fault tolerance for real-time systems connections.
Testing & QA: Perform test-driven development (TDD), unit testing, integration testing, regression testing, and API testing to ensure high-quality, secure code.
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.
Develop automated CI/CD pipelines to streamline deployment processes and minimize downtime.
Monitor system performance and resolve scaling bottlenecks through distributed system optimizations.
Collaboration and Documentation:
Work closely with cross-functional teams, including product managers, data scientists, and UX designers, to align technical solutions with business requirements.
Create detailed technical documentation for APIs, system architectures, and workflows.
Conduct peer code reviews to ensure code quality, maintainability, and adherence to industry standards.
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 comprehensive documentation for the development process, including architecture, codebase, and APIs.
Qualifications:
Education: Recently graduated with a Master’s degree in Computer Science.
Previous Experience:
5-6+ years of professional full-stack development experience, focusing on Django for back-end engineering, and React, Redux, Hooks, and advanced React state management for front-end engineering.
Technical Expertise:
Expert in React, Redux, Hooks, advanced React state management, HTML, CSS, and next generation JavaScript frameworks and libraries.
Expert in Django, Django Template Language, Django REST Framework.
Expert with RESTful API design principles and real-time communication protocols.
Expert in database design and optimization with relational databases (PostgreSQL).
Systems Architecture and Architectural Decision Making:
Ability to design and implement scalable microservices architectures.
Familiarity with distributed systems, event-driven design patterns, and fault-tolerant systems.
Performance and Scalability:
Experience implementing high-throughput systems capable of handling thousands of API calls per second.
Strong focus on minimizing latency and optimizing response times for both front-end and back-end systems.
Security and Best Practices:
Deep understanding of secure coding practices, including input validation, encryption, and secure session management.
Technical Skills:
Expert in Django for back-end development.
Expert in front-end programming languages, frameworks, and libraries, including React, Redux, Hooks, advanced React state management, HTML, and CSS.
Expert with RESTful APIs and handling JSON data.
Experience with real-time frameworks like WebSockets, Django Channels, or SignalR.
Expert with Test-Driven Development, QA, Testing, automated testing tools, security testing tools, and SonarQube.
Expert with DevOps practices, containerization (e.g., Docker, Kubernetes), and infrastructure as code.
Prior experience working with caching systems such as Redis for session and query optimization.
Expert with cloud infrastructure for staging and live production deployment.
Experience with testing frameworks for unit, integration, and API testing.
Remote Work: Ability to work remotely with a minimum commitment of 40 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 unpaid 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 completed Master's graduates that wants to be a Senior Full-Stack Engineer.***
***This is an unpaid internship at this time and is suitable for completed Master's graduates that wants to be a Senior Full-Stack Engineer.***
***This is an unpaid internship at this time and is suitable for completed Master's graduates that wants to be a Senior Full-Stack Engineer.***
Please send resumes to services_admin@flowai.tech