AI Engineer
5 days ago
Role & Responsibilities
- Conversational AI & Chatbot DevelopmentDesign 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 AnalyticsAnalyze 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 & DeploymentDesign and maintain scalable AI/ML pipelines and architecture
- Use MLOps tools to automate model training, testing, deployment, and monitoring (eg, 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 (eg, Pinecone, FAISS, Weaviate)
- Strong understanding of machine learning algorithms, statistics, and data modeling
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