Senior AI Engineer (NVIDIA + LLM Inference) - Remote - Canada

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We’re Most Proud Of
Offering life-changing career opportunities to talented software professionals across the Americas.
Building highly-skilled software development teams for hundreds of the world’s greatest companies.
Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
Our 4.1-star rating on GlassDoor.
Our client Net Promoter Score of 68, twice the industry average.
The Opportunity
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI Engineer (NVIDIA + LLM Inference).
You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.
What We're Looking For
5+ years of professional experience in AI/ML engineering, software engineering, or machine learning infrastructure.
Advanced English is required.
Strong hands-on experience with NVIDIA's AI inference stack, particularly NVIDIA NIM, NeMo, NeMo Guardrails, TensorRT-LLM, and Triton Inference Server.
Proven experience deploying and self-hosting LLMs and embedding models in production on GPU infrastructure.
Practical experience serving and scaling inference workloads, including GPU cluster operations and Kubernetes-based environments, ideally using the NVIDIA GPU Operator.
Strong theoretical and applied understanding of LLMs, including inference optimization, model serving, and the operational challenges of running models at scale.
Experience building and operating private, on-premises AI inference platforms in secure environments.
Ability to implement guardrails and controls for production LLM applications.
Experience working in banking or other regulated industries is a plus.
Ability to work through new and difficult issues and contribute to libraries as needed.
Ability to create and maintain continuous integration and delivery of applications.
Forensic attention to detail.
A positive mindset and a can-do attitude.
Experience working on Agile / Scrum teams.
Meaningful experience working on large, complex systems.
Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
Nice To Have
We’re Seeking Engineers Who Are AI-enthusiastic In Their Workflow. Professional Experience Or Personal Project Work With The Following Is a Significant Plus
Cursor, Windsurf, or Google Antigravity.
Claude Code, Gemini CLI, Codex, or Copilot CLI.
Work Authorization Requirements
Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
FullStack will not sponsor applicants for work visas now or in the future.
What We Offer
Competitive pay.
100% remote work.
The ability to work with leading startups and Fortune 500 companies.
Continuing education opportunities.
Opportunity to grow and expand your career.
Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.
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Work arrangement
Yes