Artificial Intelligence Engineer

4 days ago


tamil nadu, India Datazoic Inc. Full time

Company Description:Datazoic is a cutting-edge FinTech company revolutionizing the traditional data landscape of WallStreet. Our flagship product, Prism, combines CRM, Business Intelligence, and AI into a singlepredictive analytics platform tailored for investment banks and asset management firms. Datazoicis a market leader in this space, and our customers include some of the top financial institutions onWall Street.We are seeking a versatile and highly skilled AI Engineer to join our team and lead thedevelopment of AI-powered chatbots as well as data-driven predictive models. The ideal candidatewill have strong hands-on experience with LLMs (Large Language Models), prompt engineering,NLP, ML model training, and data analytics. You will play a key role in building intelligent, scalablesystems that enhance both conversational interfaces and data-driven decision-making.Role & ResponsibilitiesConversational 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 forenhanced 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-turnconversations.• 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 clear 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• 2–4 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.Educational Qualifications• Bachelor's/Master's degree in Computer Science, Data Science, AI/ML, or related field.Preferred Skills• Prior experience or domain knowledge in Capital Markets is highly desirable.• Prior work on fine-tuning models, LLM orchestration, or custom AI agent design



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