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Added 3 mins ago
Productivity Platform Engineer
Department of Administrative Services
United States
Engineer the M365 Copilot rollout which includes responsibility to implement the governance framework, prepare data-security prerequisites (permissions hygiene, oversharing remediation),…
Added 10 mins ago
A
Cyber Systems Engineer 3
Actalent
San Antonio, TX
- $10 USD / hour
Job Title: Cyber Systems Engineer 3Job DescriptionJoin our dynamic engineering team as a Cyber Systems Engineer 3, specializing in Model-Based Systems Engineering (MBSE) for a new solution…
Added 10 mins ago
Systems & Network Engineer
Suntec Concrete, Inc.
Phoenix, AZ
Act as technical backup to the IT Operations Manager for EDR/MDR (SentinelOne or CrowdStrike) and Abnormal email security
Added 11 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Fort Lauderdale, FL
Added 11 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Miami, FL
Added 11 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Jacksonville, FL
Added 11 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Tampa, FL
Added 11 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Fort Myers, FL
Added 11 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Pensacola, FL
Added 12 mins ago
Design Verification Engineer Intern (Summer 2027)
MIPS Holding Inc
TX
…world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit…
Added 12 mins ago
Design Verification Engineer (2027 New College Graduate)
MIPS Holding Inc
TX
…world. GF’s talented, global team remains focused every day on security, longevity, and sustainability. For more information, visit…
Added 26 mins ago
Full Stack Java Developer
USA7 DXC Technology Services LLC
FORT WORTH, TX
…modernizing IT, optimizing data architectures and ensuring security and scalability across public, private and hybrid clouds. The world’s largest companies and public sector organizations…
Added 27 mins ago
Sr. Radio Frequency (RF) Engineer
The Aerospace Corporation
Kirtland AFB, NM
…shape existing and future space missions across the national security space (NSS) enterprise. DSG is unique at Aerospace as it not only directly supports major customers, including the U.S.…
Added 27 mins ago
Propulsion Systems Engineer
The Aerospace Corporation
Los Angeles AFB, CA · Cape Canaveral AFS, FL
…exceptional communication abilities. As a Propulsion Systems Engineer you will manage and provide leadership for a team of Program Office (PO) and Engineering & Technology Group (ETG)…
Added 27 mins ago
Deputy Lead Engineer - Satellite Ground Systems
The Aerospace Corporation
El Segundo, CA
The Deputy Lead Engineer - Satellite Ground Systems in the Spectrum Systems Directorate, Special Programs Division, will support the development and integration of a critical enterprise…
Added 31 mins ago
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Staff Electronic Design Engineer
Rivian
Palo Alto, CA
- $186,000 to $232,000 USD / year
Added 32 mins ago
Senior Electrical Engineer (Power & Mixed-Signal)
Anduril Industries
Costa Mesa, CA
Anduril is seeking an experienced Electrical Engineer based in Costa Mesa, CA to develop and test cutting edge electronics for avionics propulsion systems. We are looking for a self-starter…
Added 36 mins ago
DevSecOp Engineer
MANTECH
Patrick AFB, FL
ManTech seeks a motivated, customer-oriented DevSecOp Engineer to join our team at Cape Canaveral, Florida.
Added 36 mins ago
End User Device Technician
MANTECH
Annapolis Junction, MD
Unlock the secrets of intelligence with MANTECH! Join a dynamic team at the forefront of national security, providing advanced solutions to government intelligence agencies. Since 1968,…
Added 42 mins ago
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Test Engineer
Actalent
Colorado Springs, CO
- $55 to $75 USD / hour
Job Title: Test Engineer Ground-Based Radar SystemsJob DescriptionThis role focuses on designing, preparing, and executing comprehensive subsystem and enterprise-level test plans and…
Added 44 mins ago
Data Engineer 4 (Manager IC) - Modeling & Architecture
Capital One
Richmond, VA · McLean, VA · Cambridge, MA
Cambridge, MA: $197,300 - $225,100 for Data Engineer 4
Added 46 mins ago
Senior Critical Facilities Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Colorado City, TX
The Critical Facilities Engineer is responsible for delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure (UPS, MV electrical…
Added 46 mins ago
Lead Engineer (Night) – Critical Environments
US AMR-Jones Lang LaSalle Americas, Inc.
Colorado City, TX
The Lead Engineer - Critical Environments supervises and directs operating engineers in installation, repair, and maintenance of all base building and critical system machinery and…
Added 46 mins ago
Critical Environments Operating Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Richardson, TX · Dallas Fort Worth, TX
Critical Environments Operating Engineer (S3)
Added 46 mins ago
Stationary Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Milpitas, CA
Position: Union Stationary Engineer Reports To: Chief Engineer / Facilities Manager Classification: Union (Union 39)

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.

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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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