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Senior Associate Software Developer, Risk Engine
SAS
Cary HQ, NC
…(2) years of experience in the job offered or as a Software Engineer or related…
Added 1 min ago
O
Principal Core Infrastructure Engineer
Oracle
Seattle, WA · Santa Clara, CA
- $114,600 to $234,600 USD / year
Added 1 min ago
Software Dev Engineer II, NASC Tech
Amazon.com Services LLC
Bellevue, WA
…Centers. We are looking for an experienced Software Development Engineer to help shape the technical direction of platforms that connect long-term strategic planning, mid-term optimization,…
Added 2 mins ago
Automation Engineer
Nicolet National Bank
Technology Center, WI
The Automation Engineer is responsible for designing, developing, deploying, and supporting scalable automation solutions that improve operational efficiency, reduce manual effort,…
Added 3 mins ago
Java Full Stack Developer
GD Information Technology, Inc.
Remote, United States
GDIT is seeking an experienced Full Stack Engineer to support high‑impact customer initiatives in Washington, DC. This role is ideal for engineers who excel in building production-grade…
Added 3 mins ago
J
Sr. QA/Test Automation Engineer
Jobot
Gaithersburg, MD
- $140,000 to $175,000 USD / year
Senior QA / Test Automation Engineer – Senior, Lead & Principal Levels
Added 3 mins ago
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Software Engineer (JAVA)
Jobot
Gaithersburg, MD
- $140,000 to $175,000 USD / year
Software Engineer – Senior, Lead & Principal Levels
Added 4 mins ago
Senior Software Engineer
Applied Materials, Inc
Santa Clara, CA
We are looking for an experienced Senior Software Engineer to design and develop scalable, high-performance software solutions for complex, data-intensive applications.
Added 4 mins ago
AI Solutions Engineer Lead Senior
Elevance Health
Atlanta, GA
The AI Solutions Engineer Lead Senior(Engineer Lead Senior) is responsible for leading the end to end application system development and maintenance on large complex enterprise wide…
Added 5 mins ago
SO
Senior Delivery Engineer (Technical Lead) Remote From Anywhere In CO
State of Colorado
CO
- $115,000 to $135,000 USD / year
OIT is seeking an experienced Senior Delivery Engineer (Technical Lead) who will be a key member of the Resident Services Redesign team. This role will build and integrate the technology…
Added 5 mins ago
Continuous Improvement Engineer- Green Belt
Kuehne+Nagel
Jupiter, FL
Added 5 mins ago
Continuous Improvement Engineer- Green Belt
Kuehne+Nagel
Cranbury, NJ
Added 6 mins ago
Associate AI/ML Engineer
Lockheed Martin
Cherry Hill, NJ
Spectrum Systems Lab (SSL) is seeking an entry‑level AI/ML engineer with the flexibility to incorporate and apply cutting‑edge research to a variety of problems. As an engineer on our SSL…
Added 6 mins ago
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Lead Principal Application Software Engineer- Forward Deployed Engineer
Oracle
Trenton, NJ
- $104,600 to $264,100 USD / year
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest…
Added 7 mins ago
Software Test Engineer
WCG Clinical
Trenton, NJ
The Software Test Engineer is a member of the Quality Engineering team, responsible for supporting the testing, validation and delivery of WCG namedproducts and systems.The role applies…
Added 7 mins ago
Mulesoft Developer
Steampunk
McLean, VA
Engineer and implement solutions and provide recommendations for continuous improvement for the services provided
Added 7 mins ago
Senior MuleSoft Developer
Steampunk
Remote, United States
Engineer and implement solutions and provide recommendations for continuous improvement for the services provided
Added 7 mins ago
IG
DevOps/Platform Engineer
Insight Global
Remote, United States
- From $48 USD / hour
Our client is hiring a DevOps / Platform Engineer to join our program team supporting a federal agency client's large-scale digital services platform. You will design, build, and operate…
Added 7 mins ago
IG
Software Test Engineer/QA
Insight Global
Remote, United States
- From $48 USD / hour
A Fortune 50 client is looking for a Mid-Senior Software Test Engineer who brings a balanced skill set in both manual and automation testing, with deep experience validating backend Java…
Added 7 mins ago
IG
Software Engineering Technical Lead
Insight Global
Austin, TX
- From $68 USD / hour
…will serve as the technical bridge between a Forward Deployed Engineer and an offshore development team, translating architectural direction and product requirements into executable…
Added 7 mins ago
Corporate Vice President - Google Cloud Lead Engineer (GCP)
New York Life Insurance Co
United States
New York Life is seeking an experienced Google Cloud Lead Engineer to drive enterprise‑scale cloud architecture, modernization, and operational excellence across our Google Cloud Platform…
Added 7 mins ago
Azure DevOps Engineer
Libra Solutions
Remote, United States
Libra Solutions is seeking an Azure DevOps Engineer to build, automate, and operate the delivery pipelines and cloud platform behind our products. You will own our Azure DevOps (ADO)…
Added 8 mins ago
T
Data Warehouse Engineer
TEKsystems
Cleveland, OH
- $53 to $66 USD / hour
DescriptionJOB SUMMARYThe Data Warehouse Engineer owns the movement of data from our source systems into Snowflake to keep our on-premises SQL Server environment healthy. This position will…
Added 12 mins ago
CC
Principal AI Engineer
Continental Casualty Company
Chicago, IL
- $97,000 to $189,000 USD / year
Added 12 mins ago
Senior Full Stack Developer
LMI
United States
LMI is seeking a talented and mission-driven Senior Full Stack Software Engineer to design, develop, and modernize secure, scalable, cloud-native software applications and platforms…

Bright Vision Technologies

AI Platform Engineer

Remote, United States

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

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Job details

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

Original job description

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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