Technical Architect - Scalable Solutions

About This Role
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• We are seeking a highly skilled Full-Stack Developer to join our team and play a key role in shaping the future of our platform.
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Your Responsibilities
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• Design and architect scalable features, including high-level system architecture and low-level component design.
• Build and maintain responsive, high-performing UIs using Next.js, React, TypeScript, Tailwind, and Flutter (cross-platform).
• Owning end-to-end backend development using Node.js, Express, NestJS, Python, MongoDB, and WebSockets.
• Design and implement AI workflows: LangChain, LangGraph, advanced RAG pipelines, embeddings, vector DBs, and fine-tuning LLMs.
• Optimize data pipelines: perform data cleaning, preparation, and transformation for AI models and decision systems.
• Work across environments AWS, GCP, leveraging Docker, Redis, and scalable infrastructure tools.
• Write clean, testable code and mentor junior engineers in data structures, algorithms, and design patterns.
• Closely collaborate with Product and Design teams to convert ideas into production-level experiences.
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Your Qualifications
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• Degree from a top-tier Engineering Institute with a strong academic foundation in Computer Science, AI, or related fields.
• At least 5 years of full-stack development experience in scalable platforms or products.
• Strong knowledge of Data Structures & Algorithms, with a problem-solving mindset.
• Hands-on experience with Next.js, React, TypeScript, Tailwind CSS, and Flutter (iOS/Android).
• Backend experience with Node.js, NestJS, Express, Python, and MongoDB.
• Deep understanding of WebSockets, REST APIs, and scalable microservices.
• Proven experience in AI/ML projects – including LangChain, LangGraph, RAG architecture, vector databases, and fine-tuning LLMs.
• Great grasp of AI concepts, including transformer architecture, embeddings, vector similarity, and prompt engineering.
• Proficiency in data cleaning, feature engineering, and designing algorithms for complex AI systems.
• Experience working across cloud infrastructure: AWS, Docker, Redis, and GCP.
• A strong eye for quality, performance, and clean code, with a habit of writing testable, maintainable code.
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Nice to Have
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• Contributions to open-source AI tooling.
• Experience with multi-tenant architecture or modular SaaS systems.
• Working knowledge of CI/CD, observability, and security practices in distributed systems.
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Why This Opportunity is Attractive
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• Be an early contributor to a platform defining global expansion.
• Shape foundational systems with real ownership and autonomy.
• Work with an ambitious, design-first, and AI-native product team.