Required Skills: Full-stack development with React, Angular, or Vue for frontend Backend development using Node.js, Java Spring Boot, or Python frameworks (FastAPI, Django) RESTful API design and microservices architecture Experience with Azure, AWS, and GCP cloud platforms Hands-on experience with Docker containers and Kubernetes CI/CD pipeline implementation Agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI Prompt engineering and Retrieval-Augmented GenerApply on employer site## Skills in this role* AI fundamentals* Machine learning* Deep learning* Python* Data science* Prompt engineering* RAG* Cloud## What the employer asks for* Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline* Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer)* Certification in full-stack development or AI frameworks (e.g., Full Stack Web Development, TensorFlow Developer Certificate)* Additional Information: Location: Bangalore (Hybrid work arrangement) [...] Design and develop end-to-end full-stack applications, covering frontend, backend, and API components* Build and deploy agentic AI applications using multi-agent systems and autonomous workflows* Implement scalable backend systems with microservices and event-driven architectures to support intelligent solutions* Develop cloud-native solutions on platforms such as Azure, AWS, and GCP, ensuring robust and scalable deployments* Integrate LLM-based frameworks and agent orchestration tools to enable adaptive and intelligent workflows* Enforce best practices in code quality, testing, debugging, observability, performance optimization, security, and scalability