Job Title

Job Title: Full Stack AI Engineer – Prompt Engineering Location: Gachibowli, Hyderabad (On-site) Working Times: 2.00 PM to 11.00 PM IST Job Description: We are looking for a skilled and passionate Full Stack AI Engineer with hands-on experience in Prompt Engineering and LLM-based application development . You will work on building, deploying, and scaling GenAI-powered applications using cutting-edge technologies in AI, full-stack development, and cloud computing. Key Responsibilities: Design and develop AI applications using Large Language Models (LLMs) such as GPT-4, Claude, or LLaMA. Write, optimize, and evaluate prompts for various use cases and tasks. Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies Build responsive frontend interfaces using React.js, Vue.js, or similar frameworks. Integrate with AI APIs (OpenAI, Azure OpenAI, Cohere, etc.). Work with frameworks like LangChain, LlamaIndex, and RAG pipelines. Implement vector databases like Pinecone, Weaviate, FAISS for knowledge retrieval. Collaborate with cross-functional teams for system integration and deployment. Ensure best practices in coding, testing, DevOps, and cloud deployment. Required Skills: Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) Hands-on experience with Prompt Engineering for Large Language Models (LLMs) like GPT, Claude, LLaMA, etc. Knowledge of RAG (Retrieval-Augmented Generation), LangChain, or LlamaIndex Familiarity with OpenAI, Azure OpenAI, or similar AI APIs Backend development using FastAPI, Flask, or Express Frontend development using React or Vue.js Experience with CI/CD, Docker, and cloud platforms (AWS, Azure, GCP) Preferred Skills: Experience with LangChain, LlamaIndex, or similar frameworks Familiarity with tools like Hugging Face, OpenAI Playground, Azure OpenAI Studio Knowledge of MLOps tools and data pipelines Understanding of prompt tuning and fine-tuning LLMs