IN0009: AI Product Engineer (Full-Stack + AI)

About the Role

Intants is a technology company focused on building AI-powered products, full-stack applications, and advanced software systems. Our work spans Artificial Intelligence, Machine Learning, Generative AI, LLMs, AI Agents, Computer Vision, Full-Stack Development, Backend Engineering, Cloud & DevOps, Real-Time Systems, Edge AI, and Blockchain/Web3.

Engineers at Intants work across the complete product lifecycle, from product development and AI integration to backend systems, databases, deployment, and continuous improvement.

Intants is looking for an AI Product Engineer (Full-Stack + AI) to contribute to the development of modern AI-powered products. The role combines AI/ML, Generative AI, full-stack development, backend engineering, databases, APIs, cloud technologies, and product engineering. You may contribute to AI-powered applications and intelligent workflows, full-stack web applications, LLM and Generative AI systems, RAG and AI-agent applications, Machine Learning and Computer Vision, backend APIs and microservices, databases and data systems, real-time applications, cloud and containerized deployments, Edge AI and intelligent systems, and Blockchain/Web3 applications, depending on project requirements.

What You'll Do

• Build and integrate AI-powered features into real-world products
• Work with LLMs, Generative AI, RAG, AI Agents, and multimodal systems
• Develop and integrate ML/DL models and inference pipelines
• Work with Computer Vision and AI applications where required
• Evaluate, debug, and improve AI-powered features
• Build complete products from frontend to backend and AI services
• Develop responsive web applications using React.js, Next.js, TypeScript, and JavaScript
• Build APIs and backend services using Python, FastAPI, Flask, or Node.js
• Work with REST, GraphQL, WebSockets, authentication, authorization, and background services
• Design and work with PostgreSQL, MongoDB, Redis, Supabase, and related database technologies
• Develop modular, scalable, and maintainable application architectures
• Containerize applications using Docker
• Work with cloud deployment and CI/CD workflows
• Use Git/GitHub for version control and collaboration
• Write tests, debug applications, and maintain technical documentation
• Monitor, optimize, and troubleshoot applications
• Follow secure software-development practices
• Depending on project requirements, contribute to Computer Vision and Edge AI, real-time and multimodal applications, Blockchain/Web3 and smart contracts, AI + Web3 applications, and new AI frameworks, models, and developer tools

What We're Looking For

Educational background and what we're looking for:

• B.Tech / B.E. / M.Tech / MCA or equivalent, preferably in Computer Science, Information Technology, AI/ML, Data Science, Computer Engineering, or a related field
• Final-year students and recent graduates are eligible; freshers and candidates with 0–1 years of experience are encouraged to apply
• Strong programming fundamentals
• Genuine interest in AI and modern software engineering
• Ability to learn new technologies independently
• Ability to understand and debug existing code
• Comfortable working across frontend, backend, and AI components
• Takes ownership of assigned tasks and communicates technical ideas clearly
• Comfortable working remotely and collaborating with a team
• Project experience in any of AI/ML, Generative AI, LLMs, RAG, AI Agents, Computer Vision, Voice AI, Full-Stack Applications, SaaS, REST APIs, Real-Time Applications, Cloud Applications, Edge AI, Blockchain/Web3, or AI + Blockchain is valuable. GitHub repositories, deployed projects, hackathon projects, or open-source contributions are an advantage

Technical Background (Flexible)

Technologies you'll work with:

• Python, TypeScript, JavaScript, SQL
• React.js, Next.js, Node.js
• FastAPI, Flask, REST, GraphQL, WebSockets
• PostgreSQL, MongoDB, Redis, Supabase
• Docker, Git/GitHub, cloud deployment, CI/CD
• PyTorch, TensorFlow, Transformers, Hugging Face, scikit-learn
• Generative AI, LLMs, RAG, AI Agents, LangChain, LlamaIndex, vector databases
• Computer Vision: OpenCV, YOLO, ONNX, TensorRT, multimodal AI, Edge AI, MLOps
• Solidity, Web3, smart contracts
• Development machine: Intel Core i5 12th Gen / AMD Ryzen 5 or newer, 4+ cores, 16GB RAM, 512GB SSD, integrated graphics acceptable (512MB+ VRAM), Full HD (1920×1080) display, Windows 10/11 64-bit, Linux, or macOS, stable broadband internet, webcam and microphone required (we do not provide hardware)
• A dedicated GPU is not required for general full-stack or cloud-based AI development; GPU requirements may vary for projects involving local model training, inference, or computer vision
• Available to work Monday to Saturday, 8 hours per day

Compensation Structure

Stipend: ₹10,000 per month for this full-time internship. Potential for a Pre-Placement Offer (PPO) based on overall performance.

Interview Process

The selection process includes:

• Resume & Portfolio Screening: technical background, projects, GitHub, and relevant experience
• Practical Assignment: a small AI, backend, full-stack, or product-development task
• Technical Interview: discussion of programming, projects, AI/ML, full-stack architecture, databases, APIs, and technical decisions

Who Should Apply

• Final-year students, recent graduates, or freshers with 0–1 years of experience
• Strong programming fundamentals and genuine interest in AI and modern software engineering
• Can learn new technologies independently and debug existing code
• Comfortable working across frontend, backend, and AI components
• Takes ownership of assigned tasks and communicates technical ideas clearly
• Comfortable working remotely and collaborating with a team

Frequently Asked Questions