Position: Full Stack Developer Location: Remote/On-site Employment Type: Full-time About the Role We are seeking a highly skilled Full Stack Developer to join our growing team. The ideal candidate will have strong hands-on experience in React Native for mobile applications, Node.js for backend services, MongoDB as a primary database, Qdrant (Vector DB) for AI/ML-driven use cases, and AWS for cloud infrastructure management . You will be responsible for building scalable, high-performance applications and collaborating with cross-functional teams to deliver end-to-end solutions. Key Responsibilities Design, develop, and maintain cross-platform mobile applications using React Native. Build and optimize backend APIs and services using Node.js and Express.js. Implement and manage databases (MongoDB, Qdrant) ensuring performance, scalability, and security. Deploy, monitor, and scale applications on AWS cloud infrastructure (EC2, Lambda, S3, RDS, API Gateway, etc.). Integrate third-party APIs, libraries, and AI/ML-driven services with a focus on vector search and recommendation systems. Collaborate with product managers, designers, and other developers to deliver features on time. Write clean, maintainable, and well-tested code. Ensure best practices in security, CI/CD, and application performance optimization. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 3–6 years of proven full-stack development experience. Strong proficiency in React Native (iOS & Android app development). Hands-on expertise with Node.js, Express.js for backend development. Deep knowledge of MongoDB including schema design, aggregation, and performance tuning. Experience working with Vector Databases (preferably Qdrant) for AI-driven applications (search, recommendations, personalization). Proficiency in AWS services for hosting, scaling, and monitoring applications. Solid understanding of RESTful APIs, GraphQL (nice-to-have) , and microservices architecture. Familiarity with Docker, CI/CD pipelines, Git/GitHub/GitLab workflows . Strong problem-solving skills and ability to work in an agile, fast-paced startup environment. Preferred Qualifications Experience with TypeScript for both frontend and backend. Knowledge of AI/ML workflows and vector search integration. Familiarity with serverless architecture (AWS Lambda, DynamoDB). Exposure to Kubernetes and container orchestration. Job Type: Full-time Pay: ₹418,057.20 - ₹1,716,467.21 per year Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your Current CTC? What is your Expected CTC? How soon you can join us? Work Location: In person
Position: Full Stack Developer Location: Remote/On-site Employment Type: Full-time About the Role We are seeking a highly skilled Full Stack Developer to join our growing team. The ideal candidate will have strong hands-on experience in React Native for mobile applications, Node.js for backend services, MongoDB as a primary database, Qdrant (Vector DB) for AI/ML-driven use cases, and AWS for cloud infrastructure management . You will be responsible for building scalable, high-performance applications and collaborating with cross-functional teams to deliver end-to-end solutions. Key Responsibilities Design, develop, and maintain cross-platform mobile applications using React Native. Build and optimize backend APIs and services using Node.js and Express.js. Implement and manage databases (MongoDB, Qdrant) ensuring performance, scalability, and security. Deploy, monitor, and scale applications on AWS cloud infrastructure (EC2, Lambda, S3, RDS, API Gateway, etc.). Integrate third-party APIs, libraries, and AI/ML-driven services with a focus on vector search and recommendation systems. Collaborate with product managers, designers, and other developers to deliver features on time. Write clean, maintainable, and well-tested code. Ensure best practices in security, CI/CD, and application performance optimization. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 3–6 years of proven full-stack development experience. Strong proficiency in React Native (iOS & Android app development). Hands-on expertise with Node.js, Express.js for backend development. Deep knowledge of MongoDB including schema design, aggregation, and performance tuning. Experience working with Vector Databases (preferably Qdrant) for AI-driven applications (search, recommendations, personalization). Proficiency in AWS services for hosting, scaling, and monitoring applications. Solid understanding of RESTful APIs, GraphQL (nice-to-have) , and microservices architecture. Familiarity with Docker, CI/CD pipelines, Git/GitHub/GitLab workflows . Strong problem-solving skills and ability to work in an agile, fast-paced startup environment. Preferred Qualifications Experience with TypeScript for both frontend and backend. Knowledge of AI/ML workflows and vector search integration. Familiarity with serverless architecture (AWS Lambda, DynamoDB). Exposure to Kubernetes and container orchestration. Job Type: Full-time Pay: ₹418,057.20 - ₹1,716,467.21 per year Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your Current CTC? What is your Expected CTC? How soon you can join us? Work Location: In person
About the Role We are seeking an AI Engineer who can design, develop, and deploy AI/ML models for personalization, recommendation, and computer vision use cases . This role involves working closely with our product and engineering teams to implement algorithms that power outfit recommendations, visual search, trend analysis, and virtual try-on experiences. Key Responsibilities Research, design, and build AI/ML models for outfit recommendations, personalization engines, and fashion trend predictions . Develop and optimize computer vision models for wardrobe digitization, virtual try-on, and garment recognition. Implement NLP models to understand user preferences, queries, and style language. Work with vector databases (Qdrant, Pinecone, FAISS, etc.) to build scalable recommendation and similarity search systems. Optimize ML pipelines for performance, scalability, and real-time inference . Collaborate with the engineering team to integrate AI models into the mobile app and backend services . Monitor, evaluate, and improve models using A/B testing, user feedback, and performance metrics . Stay updated with the latest research and tools in AI for fashion, recommendation systems, and generative AI . Required Skills and Qualifications: 2–3 years of hands-on experience in AI/ML model development and deployment. Proficient in Python , with solid experience in PyTorch , TensorFlow , or Keras . Proven experience with RAG models and integrating vector databases (e.g., Pinecone, ChromaDB, Qdrant). Practical knowledge of agentic workflows and AI agents . Strong understanding of reinforcement learning methodologies. Hands-on experience deploying models on AWS , GCP , or Azure using Docker and CI/CD pipelines . Deep understanding of NLP techniques , including transformers , embeddings , and text analysis . Competence in computer vision techniques, including classification , object detection , segmentation , and GANs . Excellent problem-solving and communication skills. Preferred Qualifications Experience in fashion-tech or e-commerce recommendation systems . Familiarity with LLMs and multimodal AI for fashion applications. Experience with real-time inference and large-scale ML systems . Research background in generative AI (GANs, diffusion models) for virtual try-on and AI-driven design. Job Type: Full-time Job Type: Full-time Pay: ₹15,731.18 - ₹50,807.19 per month Work Location: In person
Job description: We are seeking a highly skilled Full Stack Web Developer to join our growing team. The ideal candidate will have strong hands-on experience in React Native for mobile applications, Node.js for backend services, MongoDB as a primary database, Qdrant (Vector DB) for AI/ML-driven use cases, and AWS for cloud infrastructure management . You will be responsible for building scalable, high-performance applications and collaborating with cross-functional teams to deliver end-to-end solutions. Key Responsibilities Design, develop, and maintain cross-platform mobile applications using React Native. Build and optimize backend APIs and services using Node.js and Express.js. Implement and manage databases (MongoDB, Qdrant) ensuring performance, scalability, and security. Deploy, monitor, and scale applications on AWS cloud infrastructure (EC2, Lambda, S3, RDS, API Gateway, etc.). Integrate third-party APIs, libraries, and AI/ML-driven services with a focus on vector search and recommendation systems. Collaborate with product managers, designers, and other developers to deliver features on time. Write clean, maintainable, and well-tested code. Ensure best practices in security, CI/CD, and application performance optimization. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 3–6 years of proven full-stack development experience. Strong proficiency in React Native (iOS & Android app development). Hands-on expertise with Node.js, Express.js for backend development. Deep knowledge of MongoDB including schema design, aggregation, and performance tuning. Experience working with Vector Databases (preferably Qdrant) for AI-driven applications (search, recommendations, personalization). Proficiency in AWS services for hosting, scaling, and monitoring applications. Solid understanding of RESTful APIs, GraphQL (nice-to-have) , and microservices architecture. Familiarity with Docker, CI/CD pipelines, Git/GitHub/GitLab workflows . Strong problem-solving skills and ability to work in an agile, fast-paced startup environment. Preferred Qualifications Experience with TypeScript for both frontend and backend. Knowledge of AI/ML workflows and vector search integration. Familiarity with serverless architecture (AWS Lambda, DynamoDB). Exposure to Kubernetes and container orchestration. Job Type: Full-time Job Type: Full-time Pay: ₹417,855.48 - ₹1,717,360.99 per year Work Location: In person
Job Description : AI Video Producer (Script-to-Screen) Location : Hyderabad Company : Bansal Productions (AI-Powered Bollywood Studio) Job Type : Full-Time About the Role Bansal Productions is building the world’s first AI-powered Bollywood studio, reimagining epics through technology and creativity. We are seeking a highly skilled and imaginative AI Video Producer who can transform written scripts and storyboards into compelling cinematic experiences. Key Responsibilities: Convert scripts and storyboards into high-quality cinematic videos. Create and refine characters, environments, and visual sequences for storytelling. Apply motion capture and animation techniques for action and dance sequences. Sync dialogues, narration, and music with visuals for seamless output. Collaborate with writers, creative directors, VFX artists, and editors to bring stories to life. Experiment with new AI-driven workflows to enhance production quality and efficiency. Required Skills & Experience: Proven experience in video production, animation, or VFX. Strong understanding of cinematography, storytelling, and visual design principles. Ability to integrate script, visuals, sound, and performance into engaging video content. Familiarity with AI-driven video generation, editing, and creative pipelines. Excellent collaboration and communication skills. Preferred Qualifications: 2–5 years of experience in film production, animation, or digital storytelling. Degree/Diploma in Film, Multimedia, Animation, or Computer Graphics. Portfolio of script-to-video projects (short films, ads, or creative AI projects). Job Type: Full-time Pay: ₹20,545.79 - ₹85,889.26 per month Work Location: In person
About the Role We are seeking an AI Engineer who can design, develop, and deploy AI/ML models for personalization, recommendation, and computer vision use cases . This role involves working closely with our product and engineering teams to implement algorithms that power outfit recommendations, visual search, trend analysis, and virtual try-on experiences. Key Responsibilities Research, design, and build AI/ML models for outfit recommendations, personalization engines, and fashion trend predictions . Develop and optimize computer vision models for wardrobe digitization, virtual try-on, and garment recognition. Implement NLP models to understand user preferences, queries, and style language. Work with vector databases (Qdrant, Pinecone, FAISS, etc.) to build scalable recommendation and similarity search systems. Optimize ML pipelines for performance, scalability, and real-time inference . Collaborate with the engineering team to integrate AI models into the mobile app and backend services . Monitor, evaluate, and improve models using A/B testing, user feedback, and performance metrics . Stay updated with the latest research and tools in AI for fashion, recommendation systems, and generative AI . Required Skills and Qualifications: 2–3 years of hands-on experience in AI/ML model development and deployment. Proficient in Python , with solid experience in PyTorch , TensorFlow , or Keras . Proven experience with RAG models and integrating vector databases (e.g., Pinecone, ChromaDB, Qdrant). Practical knowledge of agentic workflows and AI agents . Strong understanding of reinforcement learning methodologies. Hands-on experience deploying models on AWS , GCP , or Azure using Docker and CI/CD pipelines . Deep understanding of NLP techniques , including transformers , embeddings , and text analysis . Competence in computer vision techniques, including classification , object detection , segmentation , and GANs . Excellent problem-solving and communication skills. Preferred Qualifications Experience in fashion-tech or e-commerce recommendation systems . Familiarity with LLMs and multimodal AI for fashion applications. Experience with real-time inference and large-scale ML systems . Research background in generative AI (GANs, diffusion models) for virtual try-on and AI-driven design. Job Type: Full-time Job Type: Full-time Pay: ₹15,731.18 - ₹50,807.19 per month Work Location: In person
Job Description : AI Video Producer (Script-to-Screen) Location : Hyderabad Company : Bansal Productions (AI-Powered Bollywood Studio) Job Type : Full-Time About the Role Bansal Productions is building the world’s first AI-powered Bollywood studio, reimagining epics through technology and creativity. We are seeking a highly skilled and imaginative AI Video Producer who can transform written scripts and storyboards into compelling cinematic experiences. Key Responsibilities: Convert scripts and storyboards into high-quality cinematic videos. Create and refine characters, environments, and visual sequences for storytelling. Apply motion capture and animation techniques for action and dance sequences. Sync dialogues, narration, and music with visuals for seamless output. Collaborate with writers, creative directors, VFX artists, and editors to bring stories to life. Experiment with new AI-driven workflows to enhance production quality and efficiency. Required Skills & Experience: Proven experience in video production, animation, or VFX. Strong understanding of cinematography, storytelling, and visual design principles. Ability to integrate script, visuals, sound, and performance into engaging video content. Familiarity with AI-driven video generation, editing, and creative pipelines. Excellent collaboration and communication skills. Preferred Qualifications: 2–5 years of experience in film production, animation, or digital storytelling. Degree/Diploma in Film, Multimedia, Animation, or Computer Graphics. Portfolio of script-to-video projects (short films, ads, or creative AI projects). Job Type: Full-time Pay: ₹20,545.79 - ₹85,889.26 per month Work Location: In person
About the Role We are seeking an AI Engineer who can design, develop, and deploy AI/ML models for personalization, recommendation, and computer vision use cases . This role involves working closely with our product and engineering teams to implement algorithms that power outfit recommendations, visual search, trend analysis, and virtual try-on experiences. Key Responsibilities Research, design, and build AI/ML models for outfit recommendations, personalization engines, and fashion trend predictions . Develop and optimize computer vision models for wardrobe digitization, virtual try-on, and garment recognition. Implement NLP models to understand user preferences, queries, and style language. Work with vector databases (Qdrant, Pinecone, FAISS, etc.) to build scalable recommendation and similarity search systems. Optimize ML pipelines for performance, scalability, and real-time inference . Collaborate with the engineering team to integrate AI models into the mobile app and backend services . Monitor, evaluate, and improve models using A/B testing, user feedback, and performance metrics . Stay updated with the latest research and tools in AI for fashion, recommendation systems, and generative AI . Required Skills and Qualifications: 2–3 years of hands-on experience in AI/ML model development and deployment. Proficient in Python , with solid experience in PyTorch , TensorFlow , or Keras . Proven experience with RAG models and integrating vector databases (e.g., Pinecone, ChromaDB, Qdrant). Practical knowledge of agentic workflows and AI agents . Strong understanding of reinforcement learning methodologies. Hands-on experience deploying models on AWS , GCP , or Azure using Docker and CI/CD pipelines . Deep understanding of NLP techniques , including transformers , embeddings , and text analysis . Competence in computer vision techniques, including classification , object detection , segmentation , and GANs . Excellent problem-solving and communication skills. Preferred Qualifications Experience in fashion-tech or e-commerce recommendation systems . Familiarity with LLMs and multimodal AI for fashion applications. Experience with real-time inference and large-scale ML systems . Research background in generative AI (GANs, diffusion models) for virtual try-on and AI-driven design. Job Type: Full-time Job Type: Full-time Pay: ₹15,731.18 - ₹50,807.19 per month Work Location: In person
Job description: We are seeking a highly skilled Full Stack Web Developer to join our growing team. The ideal candidate will have strong hands-on experience in React Native for mobile applications, Node.js for backend services, MongoDB as a primary database, Qdrant (Vector DB) for AI/ML-driven use cases, and AWS for cloud infrastructure management . You will be responsible for building scalable, high-performance applications and collaborating with cross-functional teams to deliver end-to-end solutions. Key Responsibilities Design, develop, and maintain cross-platform mobile applications using React Native. Build and optimize backend APIs and services using Node.js and Express.js. Implement and manage databases (MongoDB, Qdrant) ensuring performance, scalability, and security. Deploy, monitor, and scale applications on AWS cloud infrastructure (EC2, Lambda, S3, RDS, API Gateway, etc.). Integrate third-party APIs, libraries, and AI/ML-driven services with a focus on vector search and recommendation systems. Collaborate with product managers, designers, and other developers to deliver features on time. Write clean, maintainable, and well-tested code. Ensure best practices in security, CI/CD, and application performance optimization. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 3–6 years of proven full-stack development experience. Strong proficiency in React Native (iOS & Android app development). Hands-on expertise with Node.js, Express.js for backend development. Deep knowledge of MongoDB including schema design, aggregation, and performance tuning. Experience working with Vector Databases (preferably Qdrant) for AI-driven applications (search, recommendations, personalization). Proficiency in AWS services for hosting, scaling, and monitoring applications. Solid understanding of RESTful APIs, GraphQL (nice-to-have) , and microservices architecture. Familiarity with Docker, CI/CD pipelines, Git/GitHub/GitLab workflows . Strong problem-solving skills and ability to work in an agile, fast-paced startup environment. Preferred Qualifications Experience with TypeScript for both frontend and backend. Knowledge of AI/ML workflows and vector search integration. Familiarity with serverless architecture (AWS Lambda, DynamoDB). Exposure to Kubernetes and container orchestration. Job Type: Full-time Job Type: Full-time Pay: ₹417,855.48 - ₹1,717,360.99 per year Work Location: In person
About the Role: We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.You will be part of the team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks / Tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 10+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies. Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&D locations Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation Demonstrated experience with AI frameworks, tools and Python Job Type: Full-time Pay: ₹23,468.95 - ₹53,927.64 per month Work Location: In person
Job Title: Chief Technology Officer (CTO) Location: Hybrid / Remote (Hyderabad preferred) Company: BeSpoke AI Stylist Private Limited Type: Full-Time | Leadership Role About BeSpoke AI Stylist BeSpoke AI Stylist is a next-generation AI-powered fashion-tech startup transforming how people manage their wardrobes, plan outfits, and express their individuality. Our platform brings together AI Styling, Virtual Try-On, Wardrobe Sync, and Personalized Commerce — redefining fashion personalization for Gen Z and Millennials worldwide. Role Overview We are looking for a visionary Chief Technology Officer (CTO) to lead BeSpoke’s technology roadmap — from AI architecture to scalable backend systems. The ideal candidate will combine technical depth with product intuition, guiding the engineering team to deliver a smooth, intelligent, and global-ready fashion-tech experience. You’ll work closely with the Founder & CEO to define product strategy, oversee all tech development, and ensure BeSpoke’s systems are secure, scalable, and future-ready. Key Responsibilities Build and lead the engineering and AI R&D teams across backend, frontend, and ML stack. Architect and scale BeSpoke’s platform — Closet Management, AI Stylist, Virtual Try-On, Planner, and Commerce modules. Oversee infrastructure on AWS / Azure / Cloudinary; ensure cost-effective and reliable deployment pipelines. Lead integration of computer vision & recommendation AI for outfit recognition and personalized styling. Establish engineering best practices, documentation standards, and code quality processes. Collaborate with product and design teams to ensure seamless user experiences. Plan technical budgets, timelines, and hiring roadmaps aligned with the company’s launch milestones. Stay ahead of trends in AI image generation, AR/VR try-ons, and fashion data science. Represent BeSpoke AI Stylist in tech partnerships, investor meetings, and accelerator programs. Required Skills & Experience 7 + years of hands-on experience in software engineering or AI systems (preferably consumer-tech / B2C products). Strong command of Node.js, Express.js, MongoDB, AWS (ECS, S3, Lambda) , and modern frontend stacks (React / Next.js). Proven track record in AI/ML , computer vision , or recommendation systems . Deep understanding of system architecture, APIs, scalability, and security. Prior experience leading engineering teams or working as a technical co-founder / Head of Engineering. Excellent communication and leadership skills with a founder-mindset. Preferred Attributes Startup or early-stage experience; thrives in fast, iterative environments. Familiarity with AR/VR, fashion AI, or e-commerce platforms. Passion for blending creativity, data, and design into user-centric technology. What We Offer Equity / ESOP opportunity for early leadership members. Freedom to shape the tech vision of a global fashion-AI brand. Exposure to international markets, investors, and accelerator networks. Collaborative culture that rewards innovation, curiosity, and execution. Job Type: Full-time Pay: ₹80,000.00 - ₹150,000.00 per month Work Location: In person
Job Title: Chief Technology Officer (CTO) Location: Hybrid / Remote (Hyderabad preferred) Company: BeSpoke AI Stylist Private Limited Type: Full-Time | Leadership Role About BeSpoke AI Stylist BeSpoke AI Stylist is a next-generation AI-powered fashion-tech startup transforming how people manage their wardrobes, plan outfits, and express their individuality. Our platform brings together AI Styling, Virtual Try-On, Wardrobe Sync, and Personalized Commerce — redefining fashion personalization for Gen Z and Millennials worldwide. Role Overview We are looking for a visionary Chief Technology Officer (CTO) to lead BeSpoke’s technology roadmap — from AI architecture to scalable backend systems. The ideal candidate will combine technical depth with product intuition, guiding the engineering team to deliver a smooth, intelligent, and global-ready fashion-tech experience. You’ll work closely with the Founder & CEO to define product strategy, oversee all tech development, and ensure BeSpoke’s systems are secure, scalable, and future-ready. Key Responsibilities Build and lead the engineering and AI R&D teams across backend, frontend, and ML stack. Architect and scale BeSpoke’s platform — Closet Management, AI Stylist, Virtual Try-On, Planner, and Commerce modules. Oversee infrastructure on AWS / Azure / Cloudinary; ensure cost-effective and reliable deployment pipelines. Lead integration of computer vision & recommendation AI for outfit recognition and personalized styling. Establish engineering best practices, documentation standards, and code quality processes. Collaborate with product and design teams to ensure seamless user experiences. Plan technical budgets, timelines, and hiring roadmaps aligned with the company’s launch milestones. Stay ahead of trends in AI image generation, AR/VR try-ons, and fashion data science. Represent BeSpoke AI Stylist in tech partnerships, investor meetings, and accelerator programs. Required Skills & Experience 7 + years of hands-on experience in software engineering or AI systems (preferably consumer-tech / B2C products). Strong command of Node.js, Express.js, MongoDB, AWS (ECS, S3, Lambda) , and modern frontend stacks (React / Next.js). Proven track record in AI/ML , computer vision , or recommendation systems . Deep understanding of system architecture, APIs, scalability, and security. Prior experience leading engineering teams or working as a technical co-founder / Head of Engineering. Excellent communication and leadership skills with a founder-mindset. Preferred Attributes Startup or early-stage experience; thrives in fast, iterative environments. Familiarity with AR/VR, fashion AI, or e-commerce platforms. Passion for blending creativity, data, and design into user-centric technology. What We Offer Equity / ESOP opportunity for early leadership members. Freedom to shape the tech vision of a global fashion-AI brand. Exposure to international markets, investors, and accelerator networks. Collaborative culture that rewards innovation, curiosity, and execution. Job Type: Full-time Pay: ₹80,000.00 - ₹150,000.00 per month Work Location: In person