Senior AI Engineer

JRD Systems; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

JRD Systems is seeking an AI Engineer with 6+ years of experience to design, develop, and deploy Generative AI applications, including chatbots, forecasting assistants, and AI-powered workflows. The role emphasizes hands-on work with LLMs, prompt engineering, RAG, and agent-based workflows.

Responsibilities include building AI-powered chatbots, integrating forecasting capabilities, and delivering a modern web interface. The candidate will deploy on cloud platforms and develop REST APIs in Python.

Qualifications

• 6+ years of AI/ML development experience.
• Hands-on with LLMs, RAG, and chatbots.
• Experience deploying to cloud and building REST APIs.
• Bachelor’s or Master’s in CS/AI/Data Science.

Responsibilities

• Design and develop AI-powered chatbot applications using LLMs.
• Build conversational workflows with context management and memory.
• Implement prompt engineering strategies and evaluation techniques.
• Develop agent-based workflows and API orchestration.
• Create dashboards and visualizations for forecasting results.
• Deploy applications on AWS, Azure, or GCP; support CI/CD.

Skills

LLM concepts

Prompt engineering

RAG techniques

Workflow automation

Frontend UX design

Education

Bachelor’s or Master’s degree in Computer Science / AI / Data Science

Tools

OpenAI API

LangChain

LangGraph

CrewAI

APIs

Job description

AI Engineer – Generative AI & Conversational Applications

Job Summary

We are seeking an AI Engineer with 6+ 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

• 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.