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Ai Application Engineer

New York,NY

1062 Ai Application Engineer jobs in New York,NY

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AI Systems Lab- Test Engineering Technician

Advanced Micro Devices

Secaucus, NJ 07094

~ 18 min Onsite

  • Hands on experience testing and troubleshooting semiconductor GPUs, switches and CPUs in a semiconductor lab environment or reliability testing facility.
  • Previous experience working on server racks and datacenter.
  • Experience with MS Excel and PowerPoint
  • Demonstrated effective and collaborative communication and teamwork experience
  • Experience and ability to work autonomously and also collaboratively within a team environment to support Lab teams, Engineering, NPI, and Services
  • Work with lab tools (e.g.: diagnostics, tests, and standard semiconductor industry hardware and software)
  • Experience with Windows Server OS
  • Experience with Linux PXE services a plus
  • High attention to detail, and commitment to safety, quality, and continuous improvement
  • Associate's degree in Electronics, Information Technology or related, or an or equivalent combination of education and experience is preferred
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New, Posted 1 day ago
iHire

AI Engineer

Capital One

New York, NY 10001

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Technology Test Engineer

LMI Consulting, LLC

New York, NY 10001

New, Posted 1 day ago

Remote Online Tasks – Earn Up to $1,500/month Playing Games

Free Cash

New York, NY 10170

$1,500/mo
Remote
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Principal Engineer - Python API Development

Fidelity Investments

Hoboken, NJ 07030

~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
  • 8+ years (typically 10+) building and operating production platforms and services at scale
  • Deep software engineering expertise in Python and distributed systems
  • A track record of building production‑grade services, libraries, and internal platforms
  • Linux fluency and scripting are required
  • Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
  • Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
  • Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
  • Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
  • Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
  • The base salary range for this position is $107,000-216,000 USD per year.
  • Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
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Remote Customer Service

Hire Standard Staffing

New York, NY

$120,000/yr
RemoteHealth Insurance

  • Must be a U.S. or Canadian citizen
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Software JOB Training Program

Year Up United

New York, NY 10261

$525/wk
Onsite

  • A high school graduate or GED recipient
  • Eligible to work in the U. S.
  • Have not obtained a Bachelor's degree
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Applications Development Engineer

Disability Solutions

Totowa, NJ 07512

$108,000-$183,600/yr
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Paid On-site Study in Hoboken, NJ

TELUS Digital

Hoboken, NJ 07030

No Experience
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AI Security Risk Analyst (Healthcare)

TEKsystems

New York, NY 10001

$70-$85/hr
  1. New York,NY Jobs
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  3. Ai Application Engineer Jobs

What companies are hiring Ai Application Engineer jobs in New York,NY?

  1. Advanced Micro Devices
  2. Capital One
  3. LMI Consulting, LLC
  4. Free Cash
  5. Fidelity Investments
  6. Hire Standard Staffing
  7. Year Up United
  8. Disability Solutions
  9. TELUS Digital
  10. TEKsystems

What is the hourly salary range for Ai Application Engineer jobs in New York,NY?

The hourly salary range is $70 - $85.

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