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Added 1 min ago
Systems Integration Engineer II, Automated Drive
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Added 4 mins ago
Chief Engineer, USMC
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…OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is…
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Automation Test Engineer - 6568322
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Added 8 mins ago
Principal Forward-Deployed Engineer
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Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering
Added 10 mins ago
Distinguished Hardware Engineer
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Added 11 mins ago
Software Engineering Manager, Cloud DNS Authoritative Name Serving
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Added 12 mins ago
Senior LIMS Engineer, Prenatal
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Added 13 mins ago
HPC Engineer
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Added 15 mins ago
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Software Engineer
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- $72,800 to $130,000 USD / year
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Added 15 mins ago
Senior LIMS Engineer, Prenatal
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…prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most…
Added 15 mins ago
Software Engineer - Clinical Software
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…answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything…
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Senior IAM & Information Security Engineer
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Operating in a regulated healthcare and life sciences environment, the role protects sensitive patient data (PHI) and ensures IAM solutions are secure, reliable, and compliant with…
Added 18 mins ago
ZG
Staff Product Operations Engineer
ZT Group Intl, Inc. dba ZT Systems
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- $93,000 to $136,400 USD / year
…global manufacturing organization. As Staff Product Operations Engineer, you will bring a blend of deep manufacturing expertise, knowledge of the product design lifecycle, and strong…
Added 21 mins ago
Principal Forward-Deployed Engineer
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
United States
Added 21 mins ago
Principal Forward-Deployed Engineer
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
United States
Added 21 mins ago
GPS Engineer
Applied Materials
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Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 23 mins ago
Senior Platform Engineer, MCP & Connectors
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TX
AI Platform Engineer bridging foundation models with enterprise data pipelines and secure API gateways

Closed listing

Bright Vision Technologies

AI Platform Engineer

Remote, United States

$100,000 to $180,000 USD / year

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $100,000 to $180,000 USD / year
Closing date: Jan 31, 2027
Posting language: English
Posted: Nov 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Title: AI Platform Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $100,000 – $150,000 per annum Experience: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary:

We are seeking an AI Platform Engineer to design, build, and operate scalable AI inference platforms for production ML workloads. The ideal candidate will have expertise in distributed systems, LLM serving, GPU optimization, autoscaling, and cloud-native infrastructure, with a strong focus on performance, reliability, and observability.

Key Responsibilities:

Design and maintain scalable AI model serving platforms.
Optimize inference performance, GPU utilization, and request routing.
Build autoscaling, deployment, and monitoring solutions.
Implement caching, security, and high-availability strategies.
Collaborate with ML teams to deploy and support production AI models.

Required Qualifications:

6+ years of experience in distributed systems, infrastructure, or ML platform engineering.
Strong proficiency in Python and Go, Rust, or C++.
Experience with LLM inference frameworks (vLLM, TensorRT-LLM), Kubernetes, cloud platforms, and GPU optimization.

Preferred Qualifications:

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title AI Platform Engineer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required: 10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a highly experienced AI Platform Engineer with 10+ years of experience in distributed systems, cloud-native infrastructure, and AI platform engineering to design, build, and operate enterprise-scale AI inference and machine learning platforms. The ideal candidate will possess deep expertise in LLM serving, GPU optimization, Kubernetes, cloud infrastructure, distributed systems, and MLOps, with a proven ability to deliver highly scalable, reliable, secure, and cost-efficient AI platforms supporting production machine learning workloads.

Key Responsibilities

Design, build, and maintain scalable AI inference and model-serving platforms for enterprise production environments.
Architect highly available, cloud-native infrastructure supporting Large Language Models (LLMs), foundation models, and machine learning services.
Optimize inference latency, throughput, GPU utilization, memory management, and request scheduling across distributed AI workloads.
Design autoscaling, workload orchestration, traffic management, and intelligent request routing strategies for AI services.
Implement model deployment, versioning, rollback, and lifecycle management using modern MLOps practices.
Develop monitoring, observability, logging, distributed tracing, and alerting solutions to ensure platform reliability and performance.
Implement caching strategies, API gateways, security controls, authentication, authorization, and high-availability architectures.
Collaborate with AI researchers, ML engineers, DevOps teams, and software engineers to deploy and support production AI models.
Drive cloud infrastructure optimization, resource utilization, FinOps initiatives, and operational excellence.
Mentor engineering teams, conduct architecture reviews, and establish best practices for AI platform engineering and cloud-native development.
Evaluate emerging AI infrastructure technologies, model-serving frameworks, and GPU acceleration techniques to drive continuous innovation.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical discipline.
10+ years of professional experience in distributed systems, infrastructure engineering, cloud platforms, or machine learning platform engineering.
Strong programming skills in Python and at least one systems programming language such as Go, Rust, or C++.
Extensive experience with Large Language Model (LLM) serving, model inference optimization, and production AI infrastructure.
Hands-on experience with vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar AI serving frameworks.
Strong expertise in Kubernetes, container orchestration, Docker, and cloud-native application architectures.
Experience optimizing GPU workloads using CUDA, NVIDIA GPU technologies, distributed inference, and high-performance AI infrastructure.
Experience with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Strong understanding of distributed systems, networking, scalability, observability, and security best practices.
Excellent analytical, communication, collaboration, and technical leadership skills.

Preferred Qualifications

Experience designing and operating multi-region AI platforms and globally distributed inference services.
Knowledge of model optimization techniques such as quantization, pruning, compression, speculative decoding, KV cache optimization, and mixed-precision inference.
Experience with MLOps, GitOps, Infrastructure as Code (Terraform, Bicep, CloudFormation), and CI/CD automation.
Familiarity with service mesh technologies such as Istio or Linkerd, API gateways, and event-driven architectures.
Contributions to open-source AI infrastructure projects, technical publications, patents, or conference presentations.
Experience implementing FinOps strategies, cloud cost optimization, and enterprise AI governance.
Experience with multi-region AI deployments and AI infrastructure.
Familiarity with model optimization techniques such as quantization or compression.
Open-source contributions or experience supporting large-scale AI APIs.

Interested in this opportunity? Apply today for immediate consideration! Email your updated resume to jaya@bvteck.com Call or Text (908) 505-3545 if you have any questions. Learn more about Bright Vision Technologies at www.bvteck.com. We look forward to connecting with talented professionals and helping you take the next step in your career. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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