AI Full Stack Engineer

About the Job

AI Full Stack Engineer Employment Type: Full-time

Work Mode: Remote / Hybrid

Experience: 1–3 Years

About Academik AI Academik AI is an AI-powered EdTech platform transforming the future of education through intelligent learning, skill development, career readiness, and enterprise learning solutions. We leverage Artificial Intelligence, Generative AI, Cloud Technologies, and Modern Software Engineering to build innovative products that empower students, educators, institutions, and organizations. Our platform focuses on delivering AI-driven learning experiences, intelligent assessments, personalized career guidance, virtual assistants, workflow automation, and scalable SaaS solutions. At Academik AI, innovation, continuous learning, and technology excellence are at the core of everything we build. We are looking for a passionate

AI Full Stack Engineer to join our engineering team and contribute to building next-generation AI-powered applications that redefine digital learning and education.

About the Role As an

AI Full Stack Engineer , you will design, develop, and deploy intelligent web applications by combining modern frontend and backend technologies with Artificial Intelligence. You will work on end-to-end product development, including frontend interfaces, backend services, AI model integration, cloud deployment, and system optimization. You will collaborate with cross-functional teams to deliver scalable, secure, and high-performance AI-powered solutions.

Key Responsibilities AI & Full Stack Development

• Design, develop, and maintain scalable full-stack web applications.
• Build responsive frontend applications using React.js, Next.js, Angular, or Vue.js.
• Develop secure backend APIs using Python (FastAPI, Django) or Node.js (Express.js, NestJS).
• Integrate Large Language Models (LLMs) such as OpenAI, Claude, Gemini, Llama, Qwen, and DeepSeek into applications.
• Build AI-powered chatbots, virtual assistants, automation workflows, and intelligent business solutions.
• Develop Retrieval-Augmented Generation (RAG) pipelines and AI Agent workflows.
• Implement semantic search using embeddings and vector databases.
• Optimize application performance, scalability, and security.

Backend, Database & Cloud

• Design RESTful APIs and integrate third-party services.
• Work with PostgreSQL, MySQL, MongoDB, Redis, and Vector Databases.
• Deploy and manage applications on AWS, Azure, or Google Cloud Platform.
• Containerize applications using Docker and support CI/CD deployment pipelines.
• Monitor, troubleshoot, and optimize production applications.

Software Engineering

• Write clean, maintainable, and well-documented code.
• Participate in architecture discussions, code reviews, and sprint planning.
• Follow Agile development methodologies and engineering best practices.
• Collaborate with Product, UI/UX, QA, DevOps, and AI teams throughout the development lifecycle.

Required Technical Skills Frontend

• React.js
• Next.js
• Angular or Vue.js
• JavaScript / TypeScript
• HTML5, CSS3
• Tailwind CSS / Material UI

Backend

• Python (FastAPI, Django, Flask)
• Node.js (Express.js, NestJS)
• REST APIs
• GraphQL (Good to Have)

Artificial Intelligence

• OpenAI API
• Claude API
• Gemini API
• LangChain / LangGraph
• Prompt Engineering
• AI Agents
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Vector Databases

Databases

• PostgreSQL
• MySQL
• MongoDB
• Redis
• Pinecone / ChromaDB / FAISS / Weaviate

Cloud & DevOps

• AWS / Azure / GCP
• Docker
• Kubernetes (Good to Have)
• Git
• GitHub Actions / CI/CD

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Software Engineering, or a related field.
• 1–3 years of experience in Full Stack Development.
• Experience building production-ready web applications.
• Hands-on experience integrating AI APIs or Generative AI solutions into applications.
• Strong understanding of software engineering principles and system design.
• Good analytical, debugging, and problem-solving skills.

Preferred Skills Experience in any of the following will be an added advantage:

• Local LLM deployment (Ollama, vLLM)
• MCP (Model Context Protocol)
• Multi-Agent AI Systems
• MLOps
• Serverless Architecture
• Enterprise SaaS Platforms
• EdTech, AI, Learning Platforms, or Digital Education Solutions

Why Join Academik AI ?

• Build innovative AI products that transform education and learning.
• Work with the latest Large Language Models (LLMs), AI Agents, and Generative AI technologies.
• Collaborate with experienced engineers and AI professionals.
• Flexible Remote / Hybrid work environment.
• Competitive salary with performance-based career growth.
• Continuous learning, mentorship, and certification opportunities.
• Opportunity to contribute to impactful AI solutions used by learners and institutions worldwide.

How to Apply If you're passionate about building AI-powered applications and shaping the future of education through technology, we'd love to hear from you. 📧

Email your updated resume to: support@academik.ai