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Added 19 hours ago
Principal Software Engineer, E2E Performance and Goodput - CSP Engagements
NVIDIA USA
Remote, United States
We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key…
Added 1 day ago
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Senior Machine Learning Engineer, Nova Intelligence
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing…
Added 1 day ago
Lead Forward Deployed Engineer (FDE) - AI Platforms (ML, LLMs, APIs, ML Ops)
Target Enterprise Inc
Remote, United States
As a Lead Forward Deployed Engineer - AI Platforms (FDE), you will help accelerate the adoption of Target's enterprise AI platform by working with product and engineering teams to solve…
Added 1 day ago
Senior Full Stack AI Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Added 1 day ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization).
Added 1 day ago
Senior Machine Learning Engineer
Atlassian
Remote, United States
…entity.Interviews and onboarding are conducted virtually, a part of being a distributed-first company.Atlassian is seeking a Senior Machine Learning Engineer to join our Central AIteam. The…
Added 1 day ago
C
Software Engineer, ML Workload Platform
Cohere
Remote, United States
- $200,000 to $325,000 USD / year
You will build the platform that runs training, evaluation, and reinforcement-learning workloads: job lifecycle, scheduling, workload networking, and the storage those jobs depend on. The…
Added 2 days ago
Staff Forward Deployed Engineer
Databricks
Remote, United States
As a Staff Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the…
Added 2 days ago
Sr. Forward Deployed Engineer - Public Sector
Databricks
Remote, United States
As a Sr. Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the…
Added 2 days ago
Technical Program Manager
Phaidra
Remote, United States
The ability to work effectively with distributed teams using clear documentation and asynchronous communication.
Added 2 days ago
Solutions Architect - Digital Native Business (Geo)
Databricks
Remote, United States
Databricks certifications (Data Engineer, ML, Platform)
Added 3 days ago
Cloud Security Engineer
Jobgether
Remote, United States
The Cloud Security Engineer will play a key role in strengthening and maintaining security across enterprise cloud environments, with a primary focus on AWS and Microsoft Azure, alongside…
Added 3 days ago
ET
AI/ML Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $130,000 USD / year
We are seeking a motivated and technically skilled AI/ML Engineer to join our engineering team. The ideal candidate will have a strong foundation in Python programming, machine learning…
Added 3 days ago
TZ
Cloud Security Engineer - part-time (R-00250)
True Zero Technologies
Remote, United States
- Part-time
True Zero Technologies is seeking an experienced Cloud Security Engineer to support the design, implementation, monitoring, and continuous improvement of security capabilities across…
Added 4 days ago
Solutions Architect - Telco
Databricks
Remote, United States
Databricks certifications (Data Engineer, ML, Platform)
Added 5 days ago
Product Lead – Clinical Trial AI Platform (eClinical)
Massive Bio
Remote, United States
Every cancer patient deserves access to treatment options. Massive Bio is an AI-powered precision medicine platform transforming how cancer patients discover and access clinical trials by…
Added 5 days ago
Software Engineer, Big Data, Tech Enablement
ZipRecruiter
Remote, United States
As a Big Data Engineer in Tech Enablement, you will:
Added 5 days ago
Senior Software Engineer, Big Data, Tech Enablement
ZipRecruiter
Remote, United States
As a Big Data Engineer in Tech Enablement, you will:
Added 5 days ago
PI
Senior AIOps Engineer
Porch.com, Inc.
Remote, United States
- $135,000 to $189,000 USD / year
Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer…
Added 5 days ago
VL
Staff Network Engineer (AI Infrastructure)
vCluster Labs
Remote, United States
- $170,000 to $210,000 USD / year
As a Staff Network Engineer at vCluster Labs, you aren't just configuring switches; you are building the automation logic that configures them. AI Clouds run on InfiniBand and high-speed…
Added 6 days ago
Senior Machine Learning Engineer
Treasure AI
Remote, United States
…customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that’s safe,…
Added 8 days ago
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Research Engineer / Scientist, Reinforcement Learning
Harvey
Remote, United States
- $230,000 to $450,000 USD / year
- Deep ML fundamentals and experience getting distributed training runs working reliably.
Added 8 days ago
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Research Engineer, Infrastructure
Harvey
Remote, United States
- $230,000 to $450,000 USD / year
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort:…
Added 8 days ago
Consultant -- Azure, Data & AI
Coretek Services
Remote, United States
…optimize modern data and AI solutions on the Microsoft Azure platform. In this role, you will partner closely with clients to modernize data platforms, enable advanced analytics, and…
Added 8 days ago
S
Staff Software Engineer, Platform
SandboxAQ
Remote, United States
- $184,000 to $276,000 USD / year
We are looking for a Staff Engineer to act as a technical leader within our Platform & Infrastructure organization. This role is central to our efforts to evolve our architectural strategy,…

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 28, 2027
Posting language: English
Posted: Oct 30, 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.

About employer

More about this job

Skills

ML
Python
Go
Rust
C++
Kubernetes
Machine learning
Scheduling
DevOps
Computer science
Computer engineering
Artificial intelligence
Docker
AWS
Microsoft Azure
Google Cloud
Communication skills
Collaboration
Leadership
Infrastructure as code
IBM Terraform
CI/CD
Presentation skills

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