AI Engineer

AI Engineer – Generative AI & Conversational Applications

Job Summary

We are seeking an AI Engineer with 4–7 years of experience to design, develop, and deploy Generative AI applications, including chatbots, forecasting assistants, and AI-powered workflows.

The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows. This role will focus on building an initial AI-powered chatbot, integrating forecasting capabilities, and developing a modern web-based user interface.

Key Responsibilities

Generative AI & Chatbot Development

• Design and develop AI-powered chatbot applications using OpenAI, Claude, Gemini, or similar LLMs.
• Build conversational workflows with context management and memory.
• Implement prompt engineering strategies and response evaluation techniques.
• Integrate AI services into business applications through APIs.

Agentic AI & Workflow Automation

• Develop simple agent-based workflows using LangGraph, CrewAI, LangChain, or similar frameworks.
• Implement tool/function calling and API orchestration.
• Support multi-step task execution and workflow automation.

RAG & Knowledge Retrieval

• Build Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
• Implement document ingestion, chunking, retrieval, and response generation pipelines.
• Optimize retrieval accuracy and response quality.

Forecasting & Analytics

• Support development of forecasting models and AI-assisted prediction workflows.
• Integrate forecasting outputs into chatbot responses and dashboards.
• Work with structured and semi-structured datasets.

Front-End & User Experience

• Develop responsive web interfaces using React.js.
• Build conversational chat interfaces with real-time interactions.
• Create dashboards and visualizations for forecasting results.
• Implement conversation history and state management.

Integration & Deployment

• Develop REST APIs and backend services using Python.
• Deploy applications on AWS, Azure, or GCP environments.
• Support CI/CD pipelines and application monitoring.

Education

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.