We seek a senior Flutter developer with 5+ years of experience and a strong grasp of state management, clean architecture, and SOLID principles. The ideal candidate will be hands-on with Flutter_bloc, Riverpod, Streams, Firebase, Dio, Retrofit, and Navigation V2 (Beamer preferred). Native Android/iOS experience is a plus. Responsibilities Develop scalable and maintainable Flutter applications. Implement state management using Flutter_bloc and Riverpod. Apply clean architecture, SOLID principles, and OOP best practices. Work with Firebase, Dio, Retrofit, and Navigation V2. Collaborate with UI/UX designers and backend teams. Lead and mentor junior developers. Maintain high code quality, enforce coding standards, and review pull requests (PRs). Identify and resolve production issues efficiently.

We are seeking a highly skilled AI & Machine Learning Engineer to design, develop, and deploy intelligent AI/ML solutions for our EdTech platform. The ideal candidate must have a Master's degree in Artificial Intelligence, Machine Learning, or a related field and expertise in the latest AI methodologies, including Retrieval-Augmented Generation (RAG), Generative AI, Large Language Models (LLMs), and Multimodal AI . The role involves building scalable models, working with large datasets, and integrating AI capabilities into real-world applications. Familiarity with top AI vendors such as OpenAI (GPT-4), Anthropic (Claude), Google DeepMind (Gemini), Mistral, and Meta AI (Llama) is essential. Responsibilities Develop & optimize AI/ML models for NLP, Computer Vision, Predictive Analytics, and Recommendation Systems. Implement cutting-edge AI solutions, including RAG, LLM fine-tuning, multimodal AI, and prompt engineering. Integrate AI models from OpenAI, Claude, Gemini, and open-source alternatives into our EdTech platform. Design, train, and deploy models using TensorFlow, PyTorch, Scikit-learn, LangChain, and Hugging Face Transformers. Process large-scale datasets using Big Data technologies (Spark, Databricks, Hadoop). Develop and maintain scalable data pipelines for real-time and batch processing.

We are seeking an experienced QA Engineer with a strong background in Cypress automation to join our dynamic team. The ideal candidate will have a minimum of 8+ years of overall QA experience. Proficiency in JavaScript and Java is required, and familiarity with Selenium is a plus. Responsibilities Develop, maintain, and execute automated test scripts for web, mobile, and API testing. Design and implement robust automation frameworks (e.g., Selenium, Cypress, Appium, Playwright). Collaborate with developers, product managers, and DevOps teams to improve software quality. Conduct functional, regression, integration, and performance testing. Work with CI/CD pipelines to integrate automated testing into the development lifecycle. Identify, document, and track software defects, working closely with the development team to resolve them. Perform API testing using tools like Postman, RestAssured, or SoapUI. Optimize test execution and enhance automation coverage across projects.

We are looking for an exceptional Senior Software Architect with deep expertise in AI-driven product development, cloud infrastructure, and full-stack technologies. The ideal candidate must have a strong background in architecting scalable AI-powered applications, implementing cloud-native solutions on AWS, and leading cross-functional teams in building robust, high-performance platforms. This role will require experience in designing AI/ML systems, working with modern frontend (React.js, Next.js, Flutter, Flutter Web) and backend (Python, Node.js, Laravel) stacks, managing Kubernetes clusters, and setting up enterprise-grade DevOps pipelines. 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:

This role requires hands-on experience in Laravel's advanced features like queues, broadcasting, caching, task scheduling, and microservices. Additional expertise in database management (MySQL, Redis, PostgreSQL, MongoDB), DevOps, and security best practices is preferred. Responsibilities Develop, optimize, and maintain scalable web applications using Laravel. Architect RESTful APIs and microservices with Laravel, implementing best practices for performance and security. Master Laravel features, including queues, events, broadcasting, caching, task scheduling, and service providers. Implement Eloquent ORM and query optimizations to handle large datasets efficiently. Optimize database performance, ensuring security, indexing, and high availability in MySQL, PostgreSQL, or MongoDB. Integrate caching solutions like Redis or Memcached to enhance application speed. Ensure secure authentication & authorization using JWT, OAuth, and Laravel Sanctum. Set up CI/CD pipelines, automated testing (PHPUnit, PestPHP), and Dockerized deployments.

Role & responsibilities Cloud & Infrastructure Management:Design, implement, and maintain highly scalable AWS infrastructure following best DevOps practices.Set up, configure, and manage Kubernetes (K8s) clusters for containerized workloads.Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or Pulumi.Automate cloud resource provisioning and scaling to optimize performance and cost.Monitoring, Observability & Logging:Set up and maintain Grafana, Prometheus, and OpenTelemetry for system monitoring and observability.Implement log aggregation solutions using ELK Stack, Loki, or AWS CloudWatch.Optimize system alerting, logging, and telemetry for real-time issue resolution.Security & Compliance:Ensure AWS security best practices, including IAM, Secrets Management, KMS encryption, VPC security groups, and network ACLs.Implement CI/CD security scans, vulnerability assessments, and compliance frameworks (SOC 2, ISO 27001, GDPR).Manage container security using AWS ECR, Twistlock, or Aqua Security.Automate security patching and monitoring with AWS Security Hub, GuardDuty, and AWS Inspector.CI/CD & Automation:Design and maintain Test-Driven Deployment (TDD) strategies for highly available infrastructure.Automate deployments with Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline.Optimize zero-downtime deployments using Blue-Green Deployments, Canary Releases, and Feature Flags.Containerization & Orchestration:Manage large-scale Kubernetes clusters in AWS (EKS) and optimize containerized workloads.Implement Docker-based microservices architecture and enhance container orchestration.Configure Helm charts, Kubernetes Operators, and Kustomize for application deployments.Collaboration & Documentation:Work closely with software engineers, architects, and SRE teams to improve DevOps strategies.Document infrastructure, deployment processes, and system configurations for future scalability.Continuously optimize system reliability, performance, and scalability.Design and build automated code deployment systems that simplify development, create automation framework by orchestrating environment deployment from OS all the way through the application layers of a solution.Work in a cloud-based or on-prem environment long enough to understand how to appropriately manage PaaS/IaaS/SaaS and Agile environments.Preferred candidate profile 10+ years of hands-on experience in DevOps, cloud infrastructure, and automation.Deep expertise in AWS services: EC2, EKS, S3, Lambda, RDS, CloudWatch, IAM, VPC, Route 53, Security Hub, GuardDuty.Kubernetes expert: Experience setting up, scaling, and maintaining EKS clusters.Proficiency in monitoring tools: Grafana, Prometheus, OpenTelemetry, Loki, ELK Stack.CI/CD Pipelines: Strong experience with Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline.Infrastructure as Code (IaC): Expertise in Terraform, AWS CloudFormation, Pulumi.Security best practices: Deep understanding of AWS security policies, IAM, VPC security, KMS, TLS encryption.Containerization & Orchestration: Docker, Helm, Kubernetes Operators, Service Mesh (Istio or Linkerd).Programming & Scripting: Proficiency in Bash, Python, Go, or Terraform scripting.Certifications (Mandatory): AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional AWS Certified Security Specialty (Preferred) Perks and benefits Monday to Friday with flexible working hoursProvident fund and health insurance for employeesOpportunity to work with global brands and cutting-edge technologies.Dynamic and collaborative work environment.Competitive salary and growth opportunities.

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 ProfessionalAWS Certified DevOps Engineer ProfessionalCertified Kubernetes Administrator (CKA)Perks and benefits Monday to Friday with flexible working hoursWork on cutting-edge AI & ML solutions in the EdTech domain.Provident fund and health insurance for employeesCollaborate 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.