Role & Responsibilities

Conversational AI & Chatbot Development

- Design and implement intelligent chatbot solutions using modern LLMs like GPT-4, Claude, LLaMA, etc.
- Build prompt strategies, chains, and RAG (Retrieval-Augmented Generation) pipelines for enhanced context-aware responses.
- Integrate chatbot systems with APIs, databases, and enterprise applications.
- Optimize model usage to balance cost, latency, and accuracy.
- Develop fallback logic, session tracking, and context management for multi-turn conversations.
- Ensure secure, ethical, and responsible AI usage.

AI/ML for Predictive Analytics

- Analyze historical and real-time data to identify trends, anomalies, and patterns.
- Work with structured and unstructured data including text, time series, and tabular data.
- Present actionable insights from models to stakeholders in explicit and explainable ways.

Architecture & Deployment

- Design and maintain scalable AI/ML pipelines and architecture.




- Use MLOps tools to automate model training, testing, deployment, and monitoring (e.g., MLflow, DVC, Airflow, Kubeflow).
- Integrate models into production-grade applications using APIs and cloud ML services. Qualifications
- 2 to 4 years of relevant experience in AI Engineering.
- Strong experience with LLM-based chatbot frameworks: LangChain, LlamaIndex, Langgraph, etc.
- Expertise in prompt engineering, embeddings, and transformer-based models.
- Proficiency in Python (preferred) or other languages for ML and scripting.
- Familiarity with data pipelines, feature stores, and ETL processes.
- Experience with vector databases (e.g., Pinecone, FAISS, Weaviate).
- Strong understanding of machine learning algorithms, statistics, and data modeling.

📌 AI Engineer (Chennai)
🏢 Datazoic Machines
📍 Chennai