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 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

Required Background & experience

• BSc or MSc in Computer Science, Electrical Engineering, or a related field

• 2+ years of experience in software engineering and applied AI (or equivalent)

• Strong proficiency in Python and modern AI frameworks Proven experience delivering production-grade AI systems

• Solid understanding of deep learning architectures (CNNs, transformers)

• Experience with system-level design, debugging, and performance optimization

Domain-Specific Experience (One or More)

LLM / Agentic Systems:

Experience working with Large Language Models (LLMs) Building agentic workflows, reasoning systems, or AI-driven applications Deploying and optimizing open-source LLMs for inference

Computer Vision:

Strong background in computer vision and deep learning Hands-on experience with detection, segmentation, and tracking models

Experience with video pipelines and real-time or near-real-time systems

Nice to Have

• Experience with NVIDIA technologies (CUDA, TensorRT, Triton, NVIDIA NIM)

• Experience with GPU performance profiling and optimization Background in high-performance or low-latency systems

• Experience mentoring engineers or leading technical initiatives

What We Offer

• Ownership of complex, high-impact AI projects

• Work with cutting-edge NVIDIA GPU and AI technologies

• Influence over architecture, tooling, and technical direction

• A collaborative, engineering-driven culture

• Opportunities for technical leadership and professional growth

• Real-world, production-scale AI challenges

* We at Deloitte believe that diversity and inclusion among our people is a critical components of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.