AI/ML Software Engineer

Role Overview

We are seeking a skilled and motivated AI/ML Software Engineer with 3–5+ years of experience to join our dynamic team in Bangalore. This role requires strong expertise in Computer Vision (CV), Natural Language Processing (NLP), Optical Character Recognition (OCR), Large Language Models (LLMs)and system-level programming across both hardware and software platforms. You will work on real-world data, deploying AI models to edge environments and integrating them with high-performance systems such as storage, servers and embedded platforms. This is a full-time, work-from-office opportunity.

Key Responsibilities

• •Design, build and deploy ML pipelines for CV, OCR, NLP and LLM-based applications.
• •Optimize AI models for deployment on resource-constrained hardware and edge devices.
• •Develop and integrate system-level software using Python or C++.
• •Collaborate with system architects to optimize performance across OS, drivers and storage platforms.
• •Interface with hardware, storage and server infrastructure to create tightly coupled AI systems.
• •Conduct performance benchmarking and real-time optimization for AI-based workflows.
• •Contribute to software architecture, unit testing and code reviews in an agile environment.
• •Collaborate with cross-functional teams across India and US-based leadership.

Required Qualifications & Skills

• •3–5+ years of hands-on experience in AI/ML engineering.
• •Proficiency in Python, C++ and ML libraries like TensorFlow, PyTorch and OpenCV.
• •Strong background in computer vision, image processing, OCR, NLP and LLM/SLM systems.
• •Familiarity with edge inference, model compression and hardware-aware optimization.
• •Model lifecycle – calibration, finetuning, serving etc.
• •Understanding of OS-level programming (Linux) and interaction with low-level system components.
• •Ability to work in a fast-paced, product-driven R&D environment.
• •Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• •Exposure to GPU/TPU optimization, CUDA, or parallel computing.
• •Experience working with custom hardware, storage platforms, or embedded systems.
• •Familiarity with data acquisition and transfer protocols for high-throughput systems.
• •Master's degree or higher is a plus.

Why Join Us

• •Work on cutting-edge AI systems at the intersection of software, data and hardware.
• •Join a globally distributed but tightly integrated team of engineers and technologists.
• •Contribute to deep-tech solutions that solve real-world, high-impact problems.
• •Be part of a fast-scaling product company backed by strong leadership and R&D culture.
• •Competitive salary, skill-based growth path and long-term leadership opportunities.