Job Description & How to Apply Below
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 Lang Graph, CrewAI, Lang Chain, 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
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
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