Full-Stack Developer

About the job

Job Description – Full-Stack Developer (AI-Focused) Location: Hyderabad Work Mode: On Site Experience: 5–7 Years Job Overview We are looking for a highly skilled Full-Stack Developer with strong AI development expertise (end-to-end model building, not just API integration). The ideal candidate will have hands-on experience in developing scalable web/mobile applications along with designing, training, fine-tuning, deploying, and maintaining AI/ML models. This role requires deep expertise in React.js, Python, React Native, and solid exposure to Node.js, Java, relational databases, and cloud platforms (AWS/Azure). Key Responsibilities AI Development (Core Responsibility) • Design, build, train, fine-tune, and optimize AI/ML models using Python, PyTorch, TensorFlow, Scikit-Learn. • Develop LLM-based applications, fine-tune models (LLaMA, GPT, Mistral, etc.), and optimize performance. • Implement RAG pipelines, embeddings, vector databases, and semantic search systems. • Build AI agents, prompt pipelines, workflow orchestration, and memory-enabled systems. • Create and manage training datasets (preprocessing, augmentation, labeling, feature engineering). • Optimize inference using quantization, batching, GPU utilization, and containerized serving. • Deploy AI models via cloud services, scalable inference servers, or custom endpoints. Full-Stack Engineering • Develop modern, high-performance frontend applications using React.js. • Build backend services and APIs using Python (FastAPI, Django, Flask). • Develop cross-platform mobile applications using React Native. • Integrate proprietary and open-source AI models with custom business logic. Backend, Databases & Architecture • Design relational schemas and data structures using MySQL and PostgreSQL. • Write complex SQL queries, views, triggers, indexing, and performance tuning. • Architect scalable, low-latency backend systems. • Work on legacy or hybrid systems using Node.js or Java when required. Cloud, MLOps & Deployment • Deploy applications and AI models on AWS/Azure (EC2, Lambda, App Services, EKS, AKS). • Build and maintain CI/CD pipelines for application and model delivery. • Containerize workloads using Docker; Kubernetes experience is a plus. • Implement monitoring, logging, evaluation, drift detection, and retraining pipelines. Collaboration & Ownership • Take end-to-end ownership of features (Frontend + Backend + AI). • Participate in architecture discussions, sprint planning, and design reviews. • Create clear documentation, API specifications, and architecture diagrams. Required Skills & Experience (Must Have) AI / ML • Strong hands-on experience with PyTorch or TensorFlow. • Experience with LLMs, embeddings, transformers, and generative AI. • Model fine-tuning, dataset creation, evaluation, and prompt engineering. • Experience with LangChain, LlamaIndex, HuggingFace Transformers. • Vector databases: Pinecone, Weaviate, Chroma, FAISS. • Custom model serving using FastAPI, TorchServe, Triton, Docker. Full-Stack • Advanced React.js (Hooks, Context, Redux, performance optimization). • Strong backend development with Python. • Experience in React Native for mobile applications. Databases • Strong SQL skills with MySQL and PostgreSQL. • Database design and performance optimization. Cloud • Hands-on experience with AWS and/or Azure. • Experience with serverless, containers, and AI model endpoints. Good to Have • Exposure to analytics tools, ETL, or data engineering basics. • Experience with WebSockets, Kafka, RabbitMQ. • Kubernetes (EKS/AKS). • Contributions to open-source AI/ML projects. Education • B.Tech / B.E. / MCA / M.Tech in Computer Science or related field (preferred, not mandatory).

Requirements

• React.js
• Python
• React Native
• Node.js
• Java
• AWS
• Azure

Qualifications

• B.Tech
• B.E.
• MCA
• M.Tech

Preferred Technologies

• React.js
• Python
• React Native
• Node.js
• Java
• AWS
• Azure