5+ years of experience in AI/ML engineering or software engineering.
Advanced English proficiency required.
Hands-on experience with NVIDIA's AI inference stack, including NIM, NeMo, and Triton Inference Server.
Proven track record of deploying LLMs and embedding models on GPU infrastructure.
Experience with GPU cluster operations and Kubernetes, preferably using NVIDIA GPU Operator.
Strong understanding of LLMs and inference optimization.
Experience building private AI inference platforms in secure environments.
Responsibilities
Work through complex issues and contribute to libraries as needed.
Create and maintain continuous integration and delivery pipelines.
Maintain a high level of attention to detail in all tasks.
Foster a positive mindset and can-do attitude within the team.
Collaborate effectively in Agile/Scrum teams.
Manage large, complex systems with ownership and accountability.
Align with client goals and deliver on team commitments.
Benefits
Competitive pay.
100% remote work.
Opportunity to work with startups and Fortune 500 companies.
Continuing education opportunities.
Career growth and expansion potential.
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.
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.
100% remote work.
The ability to work with leading startups and Fortune 500 companies.
