5+ years in AI/ML engineering or software engineering.
Advanced English proficiency required.
Bachelor's degree in a relevant field.
Hands-on experience with NVIDIA's AI inference stack.
Proven deployment of LLMs on GPU infrastructure.
Experience with GPU cluster operations and Kubernetes.
Strong understanding of LLMs and inference optimization.
Responsibilities
Solve complex issues and contribute to libraries.
Create and maintain CI/CD for applications.
Ensure meticulous attention to detail.
Foster a positive and proactive work environment.
Collaborate within Agile/Scrum teams.
Manage large, complex systems effectively.
Take ownership of work and meet team commitments.
Benefits
Competitive pay.
Work with startups and Fortune 500 companies.
Continuing education opportunities.
Career growth and expansion opportunities.
Full Job Description
The Position
What We Are Looking For
5+ years of professional experience in AI/ML engineering, software engineering, or machine learning infrastructure.
Advanced English is required.
Successful completion of a four-year college degree 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.
What We Offer
Competitive pay.
The ability to work with leading startups and Fortune 500 companies.
