Generative AI Engineer

Job Summary

We are seeking a passionate and experienced AI Engineer with 4–7 years of software development experience and at least 2 years of hands-on experience in Generative AI. The ideal candidate will design, develop, and deploy AI-powered applications, including conversational chatbots, Retrieval-Augmented Generation (RAG) systems, AI agents, and forecasting assistants.

You will work on building scalable AI solutions using Large Language Models (LLMs), modern Python frameworks, and cloud technologies while delivering production-ready applications with intuitive user experiences.

Key Responsibilities

Generative AI & Conversational AI

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 evaluate LLM responses.

Integrate AI services into enterprise applications through REST APIs.

Agentic AI & Workflow Automation

Develop agent-based workflows using LangGraph, LangChain, CrewAI, or similar frameworks.

Implement tool/function calling and API orchestration.

Build multi-step AI workflows and intelligent task automation.

Retrieval-Augmented Generation (RAG)

Design and implement RAG pipelines using embeddings and vector databases.

Develop document ingestion, chunking, embedding, retrieval, and response generation workflows.

Optimize retrieval accuracy and overall response quality.

Forecasting & Analytics

Support the development of AI-assisted forecasting and predictive workflows.

Integrate forecasting outputs into conversational AI applications and dashboards.

Work with structured and semi-structured datasets.

Front-End Development

Develop responsive web applications using React.js.

Build interactive conversational chat interfaces with real-time responses.

Implement conversation history, state management, and dashboard visualizations.

Backend & Deployment

Develop RESTful APIs using Python, FastAPI, or Flask.

Deploy AI applications on AWS, Azure, or GCP.

Support Docker-based deployments, CI/CD pipelines, and application monitoring.

Required Skills

Generative AI

Hands-on experience with OpenAI, Anthropic Claude, Gemini, or equivalent LLMs.

Strong understanding of Prompt Engineering.

Experience building Retrieval-Augmented Generation (RAG) applications.

Knowledge of AI Agents and workflow orchestration.

Programming

Python (Mandatory)

REST API Development

FastAPI or Flask

AI Frameworks

LangChain

LangGraph or CrewAI

Vector Databases such as Pinecone, ChromaDB, FAISS, or OpenSearch

Front-End

React.js

JavaScript / TypeScript

Basic UI/UX understanding for conversational applications

Cloud & DevOps

AWS, Azure, or GCP

Docker

CI/CD Pipelines

Preferred Qualifications

Experience developing production-grade chatbot or conversational AI applications.

Exposure to AWS Bedrock or Azure OpenAI.

Knowledge of forecasting, analytics, or data science concepts.

Familiarity with AI observability and monitoring tools.

Experience designing conversational user interfaces.

Experience Required

4–7 years of software development experience.

Minimum 2 years of hands-on experience in Generative AI/LLM application development.

Proven experience delivering AI-powered applications in production environments.