Were looking for a versatile Full Stack Developer to join our team and help build robust, scalable web and mobile applications. Youll work across the stackfrom backend services and databases to dynamic front-end interfaces—while leveraging cloud platforms for deployment and scaling. Key Responsibilities Backend Development: Design and build RESTful APIs and micro-services using Node.js . Integrate with both MySQL and NoSQL (e.g., MongoDB, Firestore) databases. Frontend Development: Develop responsive, modular UI components with React.js and/or Angular . Ensure cross-browser compatibility and high performance. Mobile Interfaces (Plus): Contribute to React Native codebases for hybrid mobile experiences. Cloud & DevOps: Deploy and manage applications on GCP and AWS . Collaborate with DevOps to automate builds, tests, and deployments. Collaboration & Best Practices: Write clean, maintainable code with proper documentation. Participate in code reviews, agile ceremonies, and cross-functional planning. Required Skills & Qualifications Experience: 3+ years building production-ready applications. Backend: Strong proficiency in Node.js and TypeScript . Solid experience with MySQL and at least one NoSQL database. Frontend: Hands-on with React.js and/or Angular frameworks. Familiarity with modern state management (Redux, NgRx, etc.). Cloud Platforms: Practical experience deploying to GCP and/or AWS . Plus: Knowledge of React Native for mobile app development. Soft Skills: Excellent problem-solving and communication abilities. Self-driven, collaborative, and adaptable to fast-paced environments.

Were seeking a seasoned AI/ML Developer to join our tech team and help build next-generation GenAI products and scalable AI-powered APIs. You’ll architect and deploy intelligent workflows on Google Cloud Platform, integrate cutting-edge LLMs, and design real-time intent-detection systems across multiple user journeys. Key Responsibilities Model Development & Deployment: Build, train and deploy AI/ML models using GCP’s ADK and Vertex AI. Implement prompt-engineering strategies for large language models (e.g., Gemini). Vector Search & Retrieval: Design and maintain vector search pipelines on GCP. Integrate with LangChain and other tools for context-aware retrieval. API & Backend Engineering: Develop secure, scalable RESTful APIs using FastAPI and Python. Automate deployments via GitHub CI/CD workflows. Intent-Detection Systems: Architect multi-flow intent-detection pipelines with high accuracy. Continuously monitor and optimize model performance. Cloud Infrastructure & Security: Enforce best practices for secure, scalable GCP services. Collaborate with DevOps to ensure reliable, automated infrastructure. Collaboration & Documentation: Work closely with cross-functional teams (DevOps, Product, QA). Maintain clear technical documentation and share knowledge. Required Skills & Qualifications: AI/ML Expertise: 4+ years hands-on with AI/ML solutions in production. Proficiency with GCP services: Vertex AI, ADK, Firestore. Vector Search & LLM Integration: Experience building vector search pipelines on GCP. Strong familiarity with Gemini, LangChain, or similar LLM frameworks. Backend Development: Advanced Python skills; production experience with FastAPI. Solid understanding of REST principles, authentication, and security. DevOps & Automation: GitHub Actions (or equivalent) for CI/CD. Infrastructure as Code (Terraform, Deployment Manager, etc.). Intent Detection & NLP: Track record of building intent-classification or NLU systems. Familiarity with metrics and A/B testing for conversational AI. Soft Skills: Excellent problem-solving and analytical abilities. Strong communication skills and a collaborative mindset.