Junior Full Stack AI Engineer

About Us

Screen Andragogy Platforms is a screen industries technology management company. We empower professionals, organizations, and educational institutions with integrated tools, insights, and services that streamline storytelling, analytics, and product development. By combining AI-driven platforms with expert-led support, we drive value across content creation, market research, and strategic growth. From concept to audience, our solutions ensure every story is told professionally, efficiently, and universally.

About the Opportunity

Join Screen Andragogy Platforms as a Junior Full Stack AI Engineer and play a key role in building the future of storytelling, content delivery, and intelligent applications across media, entertainment, and education.This is designed to transition successful candidates into Year 2 Associate Full Stack AI Engineer role, based on performance, learning, and certification milestones.

Mandatory Policy

🛑 No direct full-time employment is offered at the outset.

✅ All selected candidates must first complete a minimum 1-year internship or consulting engagement.

🌍 Willingness to travel with the company for at least 1–2 years is mandatory. This ensures:

• Cultural alignment across global markets
• Real-time collaboration with clients and project stakeholders

Post successful completion of this phase, candidates may be considered for full-time roles, based strictly on:Value creation ,Strategic alignment,Contribution to the Screen Andragogy Platforms ecosystem

Key Responsibilities

• Full Stack Development: Build web applications, including front-end (React, Tailwind CSS, HTML/CSS) and back-end (Node.js, databases), and contribute to the development of AI-powered tools.
• AI Integration: Assist in integrating machine learning algorithms, natural language processing (NLP), and other AI functionalities into our applications.
• Testing & Quality Assurance: Write and execute automated tests to ensure functionality and performance, conduct unit and end-to-end testing, and troubleshoot and resolve bugs.
• Performance Optimization: Work on enhancing the speed, efficiency, and scalability of both web and AI-based applications.
• Python Development: Utilize Python for back-end development tasks, data processing, and AI/ML model integration.
• UX/UI Design: Collaborate with designers to create intuitive and visually appealing user interfaces, ensuring a seamless user experience across applications.
• Media & Entertainment Knowledge Application: Apply industry knowledge to help develop features and insights relevant to the screen industries, tailoring applications to meet the needs of industry professionals.
• Collaborative Development: Partner with developers, AI specialists, and designers to ensure the smooth integration of AI features and high-quality UX/UI into user-facing components.
• Performance Optimization: Enhance application speed, efficiency, and scalability

What You’ll Learn

• Full-stack development using JavaScript (React, Tailwind CSS, Node.js), HTML/CSS, Python, and databases (PostgreSQL, MongoDB).
• Experience with AI tools, including machine learning models, NLP, and AI-based automation.
• UX/UI design principles and best practices to enhance user experience and engagement.
• Insights into media and entertainment industry workflows, trends, and unique requirements.
• Industry best practices in code testing, continuous integration, and quality assurance.
• Exposure to cutting-edge AI, UX/UI, Python programming, and cloud-based technologies.
• Hands-on AI/ML integration using real tools like OpenAI API, Hugging Face, and TensorFlow
• Cross-functional collaboration with product, design, and AI research teams
• Agile development practices and industry-grade testing methods
• Hands-on testing, automation, and CI/CD pipeline development

Requirements

Bachelor’s degree or Purusing or strong portfolio in Computer Science, Software Engineering, Design, or a related field (or equivalent experience), Information Technology, or AI/ML.

• Strong understanding of front-end technologies (HTML, CSS, JavaScript, React, Tailwind CSS).
• Proficiency in back-end programming languages (Node.js, Python) and experience using Python in web development or data-related tasks.
• Knowledge or experience in UX/UI design, including familiarity with design tools (Sketch, Figma, Adobe XD) and understanding of design principles.
• Interest in AI and a strong willingness to learn and implement it in practical applications.
• Familiarity with the media and entertainment industry, with an understanding of its unique needs and challenges.
• Passion for testing and quality assurance, with familiarity in automated testing tools or frameworks.
• Strong problem-solving skills, attention to detail, and a proactive attitude.

Bonus Skills

• Experience with AI tools like TensorFlow, OpenAI API, or Hugging Face.
• Knowledge of testing frameworks (Jest, Mocha, Cypress, Pytest) and automated testing processes.
• Familiarity with cloud services (AWS, Google Cloud) and CI/CD pipelines (GitHub Actions, GitLab CI/CD).
• Familiarity with:Testing frameworks: Jest, Cypress, Pytest Cloud and DevOps: AWS, GCP, or CI/CD pipelines
• Prior experience in full-stack development, UX/UI design, Python programming, AI, or software testing.

Tools You May Work With

• Languages:

  Python, JavaScript (React/Node), Java, TypeScript

• Frameworks:

  FastAPI, Flask, Next.js

• AI/ML:

  Hugging Face, LangChain, TensorFlow, OpenAI APIs

• Infra:

  Docker, Firebase, Supabase, Vercel, GitHub Actions

• Others:

  Figma, Postman, Swagger, Notion

Career Path

Year 1: Junior Full Stack AI Engineer (Internship)

• Hands-on, structured learning and delivery
• Must submit 2 relevant certifications (e.g., Python, AI, UX/UI, Testing)
• Subject to periodic evaluation and feedback

Year 2: Associate Full Stack AI Engineer (Promotion Track)

• Promotion based on value creation, commitment, and discipline
• Opportunity to lead modules, contribute to client solutions, and travel with project teams

Application & Interview Process: 5 Stages

📝

Share your background, skills, and why you’re excited to build the future of screen industries. Highlight any work related to AI, UX/UI, Python, or media.

🧠 Stage 2: Algorithms & DSA Challenge

• Focus: Logical problem-solving, core data structures, and algorithm design

🧪 Stage 3: Full Stack Testing Challenge

• Build or improve a web app with both frontend and backend functionality
• Include testing methodology and bug-handling strategy

🌐 Stage 4: API Development + AI Integration Project

• Build a practical API-enabled feature or tool with optional AI/NLP/ML integration
• Emphasis on deployment, usability, and domain relevance

📄 Stage 5: Certification Verification & Onboarding Eligibility

• Before onboarding, candidates must submit 2 valid certifications (e.g., in Python, ML, AI, Full Stack, or UX/UI) within 15 to 20 days of selection.
• Only after successful verification of these certifications will a formal joining letter be issued
• This ensures a baseline of technical readiness and commitment

How to Apply

Submit your resume ,Cover Letter, Portfolio (GitHub, live apps, design prototypes, etc.) and any relevant AI, full-stack, Python programming, testing, UX/UI design, or media and entertainment projects through LinkedIn. We’re excited to see how your skills in Python, AI, front-end, back-end, testing, UX/UI design, and industry knowledge can contribute to shaping the future of the screen industries!