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AI Platform Engineer

Brightvision · Remote
RemoteFull-timeTechnologySenior$100,000–$150,000/yr
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About the AI Platform Engineer role

AI Platform Engineer positions focus on delivering results in their domain. This page aggregates open AI Platform Engineer roles and what employers typically expect.

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled AI Platform Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. # AI Platform Engineer **Job Title:** AI Platform Engineer **Location:** 100% Remote (Continental United States) **Position Type:** In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) **Experience:** 6+ years **Salary Range :** $100k to $150k per annnum **Sponsorship:** No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. **Employment Type:** Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) **Engagement:** Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap **Compensation:** Competitive base salary commensurate with experience, plus benefits. **Employment Terms & Visa Policy** **This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.** **This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement.** The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. **BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.** Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. **However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.** For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. **Job Summary** We are seeking an AI Platform Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. **Key Responsibilities** - Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. - Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. - Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. - Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. - Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. - Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. - Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. - Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. - Develop de…

Salary estimate

$100,000 – $150,000/yr
Provided by the employer.

Skills for this role

PytorchCommunication

Resume tips for AI Platform Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show AI Platform Engineer outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical AI Platform Engineer problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About Brightvision

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