Full Stack Lead Developer

You will be responsible for developing and maintaining high-quality applications and systems, with a strong focus on AI-driven solutions. You will design, implement, and maintain testable, scalable, and high-performance code across both frontend and backend services. Experience in building cloud-based applications, integrating AI/ML models, and working with modern web technologies and distributed systems is required. Responsibilities: - Develop and maintain quality software applications and scalable web solutions. - Analyze, design, and implement highly testable code and high-performance applications. - Collaborate with cross-functional teams to define, design, and ship new features. - Ensure responsiveness and cross-platform compatibility of applications. - Debug, troubleshoot, and resolve application bugs and bottlenecks. - Integrate third-party services, APIs, and AI models into applications. - Optimize applications for maximum speed, scalability, and AI inference efficiency. - Implement real-time features using WebSockets and other event-driven architectures. - Work on distributed systems involving message queues such as Kafka or Redis and manage cloud-based infrastructure. - Develop and deploy AI-powered solutions, including NLP models, recommendation engines, and intelligent automation systems. Skills & Qualifications: - Bachelors degree or equivalent experience in Computer Science, AI, or a related field. - 4+ years of proven experience as a Full Stack Engineer, working with both frontend and backend technologies. - Proficiency in one or more frontend technologies: React, TypeScript, JavaScript, HTML, CSS. - Proficiency in backend technologies: Java, Python, SQL, Kafka or Redis. - Experience in developing and deploying cloud-based applications. - Strong understanding of WebSockets for real-time communication. - Good knowledge of relational databases like SQL. - Familiarity with CI/CD processes and cloud services (AWS, Azure, or Google Cloud). - Experience working with AI/ML frameworks like TensorFlow, PyTorch, OpenAI API, or LangChain. - Knowledge of NLP, data engineering, and AI model integration in web applications. - Experience in system design and software architecture will be an added advantage. - Managed/mentored a 2-3 member team. Nice to Have: - Familiarity with building and scaling Applicant Tracking Systems, job portals, or online communities. - Understanding of microservices architecture and distributed systems. - Knowledge of containerization tools like Docker and orchestration with Kubernetes. - Experience with vector databases and embedding models for AI applications. This role is ideal for engineers passionate about AI-driven innovation and building intelligent, scalable solutions. Professionals currently not in jobs with 10+ years of experience in full stack application design & development can also be considered for short-term (6-12 months) assignments.,