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 performance2. Computer Vision & Deep LearningDesign 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 platformsKey Responsibilities Lead the design and development of AI systems in either LLM-based agentic systems or computer visionOwn end-to-end delivery of AI solutions, from architecture and prototyping to production deploymentOptimize model performance, latency, and throughput on NVIDIA GPU platformsDesign clean, maintainable, and scalable AI software architecturesCollaborate with customers, product teams, and engineers to translate requirements into technical solutionsMentor junior engineers and contribute to technical best practicesEvaluate new tools, models, and frameworks and drive their adoption when appropriateRequired Background & experienceBSc or MSc in Computer Science, Electrical Engineering, or a related field4+ 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 systemsSolid understanding of deep learning architectures (CNNs, transformers)Experience with system-level design, debugging, and performance optimizationDomain-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 inferenceComputer Vision: Strong background in computer vision and deep learning Hands-on experience with detection, segmentation, and tracking modelsExperience with video pipelines and real-time or near-real-time systemsNice to HaveExperience with NVIDIA technologies (CUDA, TensorRT, Triton, NVIDIA NIM)Experience with GPU performance profiling and optimization Background in high-performance or low-latency systemsExperience mentoring engineers or leading technical initiativesWhat We Offer Ownership of complex, high-impact AI projectsWork with cutting-edge NVIDIA GPU and AI technologiesInfluence over architecture, tooling, and technical directionA collaborative, engineering-driven cultureOpportunities for technical leadership and professional growthReal-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.