About ElectroGlobal Solutions
ElectroGlobal Solutions Private Limited
Jaipur, Rajasthan · Deep-Tech Product Company
ElectroGlobal Solutions Private Limited is a rapidly growing deep-tech product company specializing in Robotics, Semiconductor Technologies, Artificial Intelligence, Embedded Systems, Internet of Things (IoT), Industrial Automation, and Intelligent Product Development.
Recognized under the Startup India initiative and supported through the innovation ecosystem of the Government of Rajasthan, ElectroGlobal is committed to developing next-generation technology products that solve real-world industrial and business challenges. The company leverages startup ecosystem support from Microsoft and Amazon Web Services (AWS).
Role Overview
ElectroGlobal Solutions is seeking an experienced Senior AI & LLM Systems Engineer to lead the design, architecture, deployment, and optimization of enterprise-scale Artificial Intelligence solutions.
The candidate will play a strategic role in defining AI roadmaps, leading engineering teams, architecting intelligent systems, and driving innovation initiatives that directly contribute to the company's product portfolio and long-term technology vision.
Key Responsibilities
AI Architecture & Technical Leadership
- Define and lead the architecture of enterprise-grade AI products and platforms
- Establish AI engineering standards, frameworks, and development best practices
- Mentor AI engineers and foster a culture of engineering excellence
Technologies & Skills
Required Technical Skills
- LangChain, LangGraph, LlamaIndex, OpenAI APIs, Hugging Face
- Vector Databases, Semantic Search, Embedding Models
- Python, FastAPI, Microservices, Distributed Systems
- AWS, Azure, GCP, Docker, Kubernetes, MLflow
Perks & What We Offer
What We Offer
- Compensation up to ₹18 LPA
- Performance-based bonuses
- Leadership development programs
- AI certification sponsorship
- Patent & intellectual property support
- Access to advanced AI infrastructure
LLM Engineering & Agentic AI
- Architect and deploy large-scale LLM-powered applications
- Design advanced prompt engineering and context management frameworks
- Design and implement autonomous AI agents and multi-agent ecosystems
- Architect scalable knowledge retrieval and RAG systems