AI & LLM Systems Engineer

Electro Global; Jaipur; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary with ESOP

GPU compute access

Direct exposure to AI products

Mentorship from senior researchers and

Flexible working hours with high-autON

Job summary

ElectroGlobal Solutions Private Limited in Jaipur, Rajasthan, invites an experienced AI systems engineer to join our AI & LLM Systems team. You’ll build production-grade agents, RAG pipelines, and AI automation workflows that connect with external APIs, databases and hardware.

Work alongside embedded systems engineers and product designers to ship models used by real customers from day one, with mentorship from senior researchers and founders in a high-autonomy environment.

Qualifications

• Experience building production-grade AI agents and pipelines.
• Hands-on with major LLM APIs and orchestration frameworks.
• Strong programming skills in Python and data libraries.

Responsibilities

• Develop end-to-end LLM-powered agents and RAG pipelines.
• Integrate with external APIs, databases, and hardware systems.
• Tune models for electronics, engineering, and industrial contexts.
• Build evaluation frameworks and observability tooling for production AI systems.

Skills

Python expert

Numpy

Pandas

PyTorch

TensorFlow

OpenAI API

Anthropic API

Mistral API

LLM APIs

LangChain

LlamaIndex

Orchestration frameworks

Vector databases

Pinecone

Weaviate

Chroma

pgvector

REST API design

Async Python

Docker

AWS/GCP

Prompt engineering

RAG

Agent architectures

Tools

ONNX

TensorRT

Job description

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

At ElectroGlobal, our AI & LLM Systems team is building intelligent products that go beyond demos - production-grade AI agents, automation pipelines and large-language-model integrations that solve real engineering and business problems.

You’ll work at the intersection of cutting-edge AI research and practical deployment, shipping models and systems that are used by real customers from day one.

Key Responsibilities

What You’ll Build

• End-to-end LLM-powered agents using LangChain, LlamaIndex or custom orchestration layers
• RAG pipelines connecting proprietary knowledge bases to foundation models
• AI automation workflows integrating with external APIs, databases and hardware systems
• Fine-tuned models for domain-specific tasks in electronics, engineering and industrial contexts
• Evaluation frameworks and observability tooling for production AI systems

Technologies & Skills

Skills We’re Looking For

• Python (expert level) - numpy, pandas, PyTorch or TensorFlow
• Hands-on experience with OpenAI, Anthropic, Mistral or open-source LLM APIs
• LangChain, LlamaIndex or similar orchestration frameworks
• Vector databases: Pinecone, Weaviate, Chroma or pgvector
• REST API design, async Python, Docker and basic cloud deployment (AWS / GCP)
• Strong understanding of prompt engineering, RAG and agent architectures

Why Join Us

Who You’ll Work With

You’ll be embedded with our AI Research pod, collaborating closely with embedded systems engineers, product designers and the founding team. Your models won’t sit in notebooks - they'll run in products.

Perks & What We Offer

Bonus Points

• Experience with LoRA / QLoRA fine-tuning on custom datasets
• Familiarity with ONNX, TensorRT or edge AI deployment
• Previous work in industrial, robotics or hardware AI contexts

What We Offer

• Competitive salary with ESOP participation
• Access to GPU compute for research and development
• Direct exposure to AI products shipping to real customers
• Mentorship from senior AI researchers and founders
• Flexible working hours with a high-autonomy culture