AI Engineer

We are an NVIDIA partner, delivering professional services in advanced software development, artificial intelligence systems, and high-performance AI solutions. We build production-grade AI systems optimized for NVIDIA GPU platforms, working across multiple applied AI domains, including Generative AI / Agentic Systems and Computer Vision.

Role Overview

We are looking for an experienced Senior AI Engineer to take a leading role in designing, building, and delivering advanced AI systems for real-world applications. This role is suited for a hands-on engineer with strong software engineering skills and deep experience in applied AI, who enjoys solving complex problems, owning technical solutions end-to-end, and mentoring junior team members. Projects typically focus on one primary domain—either LLM-based agentic systems or computer vision systems—depending on business needs and expertise.

What We Work On

Our work spans two main AI domains:

1. Agentic AI & Large Language Models

Design and implementation of agentic systems powered by Large Language Models (LLMs) Deployment of open-source LLMs on NVIDIA GPUs High-performance inference using NVIDIA technologies such as NVIDIA NIM (Inference Microservices) System-level design for reliability, scalability, and performance

2. Computer Vision & Deep Learning

Design and development of advanced computer vision systems CNN- and transformer-based models for real-world vision tasks Detection, segmentation, tracking, and video analytics pipelines Performance optimization on GPU platforms

Key Responsibilities

• Lead the design and development of AI systems in either LLM-based agentic systems or computer vision
• Own end-to-end delivery of AI solutions, from architecture and prototyping to production deployment
• Optimize model performance, latency, and throughput on NVIDIA GPU platforms
• Design clean, maintainable, and scalable AI software architectures
• Collaborate with customers, product teams, and engineers to translate requirements into technical solutions
• Mentor junior engineers and contribute to technical best practices
• Evaluate new tools, models, and frameworks and drive their adoption when appropriate