Demo

AI/ML system Engineer

SellWizr
York, NY Full Time
POSTED ON 3/12/2026 CLOSED ON 3/13/2026

What are the responsibilities and job description for the AI/ML system Engineer position at SellWizr?

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.


You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.


This role is based in New York. We use a hybrid work model of 3 days in the office per week.


In this role you will

  • Own technical delivery across multiple deployments from first prototype to stable production
  • Build full-stack systems that deliver customer value and sharpen how we learn
  • Embed closely with customer teams, understand their needs, and guide adoption of what you build
  • Scope work, sequence delivery, and remove blockers early
  • Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
  • Contribute directly in the code when progress or clarity depends on it
  • Codify working patterns into tools, playbooks, or building blocks that others can use
  • Share field feedback that helps Research and Product understand where the models succeed and where they can improve
  • Keep teams moving through clarity and follow-through


You might thrive in this role if you

  • Bring 2 years of engineering or technical deployment experience that includes customer-facing work
  • Have scoped and delivered complex systems in fast-moving or ambiguous environments
  • Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
  • Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
  • Simplify complexity and make fast, sound decisions under pressure
  • Communicate clearly with engineers, product teams, and customer stakeholders
  • Spot risks early and adjust without slowing down
  • Model calm and judgment when the stakes are high


About SellWizr

We’re a fast-moving, early-stage fintech startup building cutting-edge technology. Our team thrives on collaboration, innovation, and a hands-on approach to solving real-world problems. You’ll work alongside experienced professionals with AI backgrounds from companies like Google, Meta, Apple, and Goldman Sachs, gaining practical skills while making a meaningful impact on our core platform.

Salary.com Estimation for AI/ML system Engineer in York, NY
$108,747 to $140,079
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a AI/ML system Engineer?

Sign up to receive alerts about other jobs on the AI/ML system Engineer career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$101,387 - $124,118
Income Estimation: 
$119,030 - $151,900
Income Estimation: 
$101,387 - $124,118
Income Estimation: 
$119,030 - $151,900
This job has expired.
Employees: Get a Salary Increase
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Not the job you're looking for? Here are some other AI/ML system Engineer jobs in the York, NY area that may be a better fit.

  • Scale AI York, NY
  • Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering M... more
  • 19 Days Ago

  • Scale AI York, NY
  • About This Role Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You... more
  • 10 Days Ago

AI Assistant is available now!

Feel free to start your new journey!