AI Engineer

Job Title: AI Engineer

Experience: 5+ Years

Location: Onsite - HSR Layout, Banglore

Employment Type: Permanent Hire

Notice Period: Immediate Joiners Preferred

Overview

We are looking for an AI Engineer Researcher to drive core intelligence, focusing on building efficient, production-grade agentic AI systems.This role sits at the intersection of applied research and real-world deployment, with a strong emphasis on Small Language Models (SLMs). You will contribute to advancing model efficiency, domain-specific training, and scalable deployment across industries such as robotics, industrial automation, and edge AI.You will play a key role in translating cutting-edge AI research into practical, deployable systems that operate directly on devices and embedded environmentsnot just in the cloud.

Key Responsibilities

• Design and develop Small Language Models (SLMs) tailored for domain-specific applications
• Build and optimize fine-tuning pipelines using techniques like LoRA, PEFT, and quantization
• Implement model compression strategies such as distillation, pruning, and quantization-aware training
• Develop and manage prompt engineering workflows and agent orchestration systems
• Optimize models for low-latency, high-throughput inference in production environments
• Deploy AI models on edge devices and embedded systems
• Improve model performance across latency, accuracy, and cost efficiency
• Align models with hardware constraints (GPU, CPU, edge accelerators)
• Design evaluation frameworks to measure model reliability and effectiveness
• Collaborate with cross-functional teams to integrate AI into real-world systems

Skills & Requirements

• 5+ years of experience in AI/ML, with a focus on applied research or production systems
• Strong experience in SLM/LLM development and optimization
• Hands-on expertise in fine-tuning techniques (LoRA, PEFT, quantization)
• Solid understanding of model compression techniques (distillation, pruning, QAT)
• Experience in prompt engineering and agent-based systems
• Proficiency in optimizing inference performance (latency, throughput)
• Experience with edge AI deployment (on-device / embedded systems)
• Knowledge of hardware-aware optimization across GPUs, CPUs, and accelerators
• Strong programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow)
• Ability to work in a fast-paced, high-ownership environment