Prasaditya Idea Pvt Ltd is a India-based technology company within the Prasaditya Group, with expertise across software engineering, Data Engineering, Artificial Intelligence, enterprise resource planning (ERP), and Internet of Things (IoT). Its services include custom web, mobile, and enterprise application development, legacy system modernization, analytics and dashboards, AI-based customer engagement, ERP implementation, IoT integration, and technology consulting. It supports clients through project delivery, dedicated engineering teams, and staff augmentation, covering work from solution design through deployment and ongoing optimization.
The company’s product portfolio includes Kagami ERP, BoxPwr IoT Toolkit, and Habitual AI. Kagami ERP uses an AI-enabled, low-code platform (Kagami Studio) to build and customize business applications spanning finance, HR, inventory, procurement, production, sales, and CRM. BoxPwr IoT Toolkit provides reusable software frameworks for connecting devices, gateways, edge systems, and cloud platforms, with applications in smart manufacturing, connected infrastructure, and monitoring.
Habitual AI product focuses on behavioral analysis, predictive analytics, personalization, and automated decisions, including customer engagement and marketing optimization. Together, these products complement the company’s engineering services by providing platforms that can be adapted to different business requirements.
Prasaditya idea served several organizations such as LG Electronics, Analog Devices, Zenoti, Plural Technologies, Toshiba, Go Khana, HDFC Bank, ICICI Bank, Diamond Cement, Volta Green Structures, Zenoti and Datalink.
Prasaditya Idea Pvt Ltd has a promising direction: combining engineering services with its own products creates opportunities to expand existing relationships into broader data, automation, ERP, IoT, and customer engagement programs.
About the job
We are looking for AI Engineer for Prasaditya IDEA Private Limited
Experience : 3+ Years
Location : Hyderabad(Onsite)
Experience across software engineering, architecture, product/platform engineering, or solution architecture, backed by a robust track record of product-side delivery.
SDLC Mastery: Deep, foundational understanding of enterprise software architecture, DevSecOps pipelines, Agile/Scrum frameworks, and the broader product lifecycle.
Hands-on AI Fluency: Direct, practical fluency with AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery. You must possess the ability to build, evaluate, and deeply explain working AI solutions.
Modern AI Tech Stack: Experience leveraging tools and frameworks such as Claude Code, Cursor, Windsurf, GitHub Copilot, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP (Model Context Protocol), RAG, and vector databases.
Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability
Good-to-Have Skills
Customer-Facing Excellence: Prior experience in high-touch, customer-facing technical roles (e.g., Forward-Deployed Engineer, Principal Solutions Architect, Field Engineer, or Pre-Sales Engineering Leader).
- Interested candidates can share their cv to
[email protected]
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