Job Description

Role & responsibilities Architecting AI-Powered Systems: Design, develop, and optimize AI-driven applications , integrating LLMs, Retrieval-Augmented Generation (RAG), NLP, and Generative AI . Implement AI/ML pipelines , working with OpenAI, Anthropic (Claude), Google Gemini, Mistral, and Meta AI . Architect scalable microservices with AI-powered automation, chatbots, and recommendation systems. Cloud & DevOps Leadership: Oversee AWS-based cloud architecture , including EC2, EKS (Kubernetes), Lambda, RDS, IAM, and security best practices . Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation for scalable deployments. Ensure high availability, fault tolerance, and auto-scaling of cloud services. Lead containerization strategies with Docker and Kubernetes (K8s) , optimizing workloads in AWS EKS . Full-Stack System Design & API Development: Architect and oversee development across React.js, Next.js, Flutter, Flutter Web , and Python-based APIs . Ensure secure and efficient API development in Python (FastAPI, Flask), Node.js, Laravel . Optimize database performance using Vitess (MySQL Sharding), PostgreSQL, Redis, and Snowflake . Monitoring, Security, and Performance Optimization: Set up Grafana, Prometheus, and OpenTelemetry for observability and real-time system monitoring. Implement security best practices , ensuring compliance with SOC 2, ISO 27001, GDPR . Manage zero-downtime deployments using Blue-Green Deployment, Canary Releases, and Feature Flags . Drive performance optimizations across frontend, backend, and AI workloads. Cross-Team Collaboration & Leadership: Work closely with AI engineers, DevOps specialists, full-stack developers, and product teams to design scalable systems. Lead Agile methodologies , including Scrum, Sprint Planning, and Code Reviews . Mentor engineers and establish architectural best practices for long-term product scalability. Preferred candidate profile 15+ years of experience in full-stack development, cloud architecture, and AI-driven applications. Expertise in AI & ML systems : RAG, LLM fine-tuning, LangChain, Hugging Face, OpenAI APIs . Cloud & DevOps: Deep expertise in AWS services , Terraform, Kubernetes (EKS), Docker, CI/CD pipelines . Full-Stack Development: Experience in React.js, Next.js, Flutter, Flutter Web, and Python (FastAPI, Flask, Django) . Database Expertise: MySQL (Vitess), PostgreSQL, Redis, Snowflake, and data warehousing solutions. Monitoring & Security: Strong knowledge of Grafana, Prometheus, OpenTelemetry , IAM policies, and cloud security Certifications (Preferred): AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional Certified Kubernetes Administrator (CKA) Perks and benefits Monday to Friday with flexible working hours Work on cutting-edge AI & ML solutions in the EdTech domain. Provident fund and health insurance for employees Collaborate with global AI vendors and leverage the latest advancements in LLMs, RAG, and Generative AI. Dynamic and collaborative work environment. Competitive salary and growth opportunities.