Generative AI Engineer

JRD Systems; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

JRD Systems is seeking a passionate AI Engineer with 4–7 years of software development experience and at least 2 years in Generative AI. You will design, develop, and deploy AI-powered applications, including chatbots, RAG systems, AI agents, and forecasting tools.

You'll work with LLMs, Python, and cloud technologies to deliver production-ready solutions with intuitive user interfaces, scalable architectures, and robust API integrations on AWS/Azure/GCP.

Qualifications

• 4–7 years of software development experience.
• 2+ years hands-on Generative AI/LLM experience.
• Production-grade AI-powered applications delivery experience.
• Strong Python programming skills.
• Cloud platform knowledge (AWS/Azure/GCP).

Responsibilities

• Design and develop AI-powered chatbot applications using OpenAI, Claude, Gemini, or equivalent LLMs.
• Build conversational workflows with context management and memory.
• Implement prompt engineering strategies and evaluate LLM responses.
• Integrate AI services into enterprise applications via REST APIs.
• Develop agent-based workflows and API orchestration.
• Build multi-step AI workflows and intelligent task automation.
• Design and implement RAG pipelines with embeddings and vector databases.
• Develop document ingestion, chunking, embedding, retrieval, and response generation workflows.
• Optimize retrieval accuracy and overall response quality.
• Support AI-assisted forecasting and analytics integrations into dashboards.
• Work with structured datasets and RESTful backends.
• Develop frontend interfaces using React.js and real-time chat features.
• Deploy AI applications on AWS/Azure/GCP with CI/CD and monitoring.

Skills

Python

Generative AI

Prompt Engineering

RAG

AI Agents

REST API

React.js

Tools

FastAPI

Flask

LangChain

LangGraph

CrewAI

AWS

Azure OpenAI

Job description

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.
• 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

Front‑End

• React.js
• Basic UI/UX understanding for conversational applications

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 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.