aimlroles

AWS AI Engineer V - ONLY USC AND GC CANDIDATES

Hudson Manpower hudsonmanpower.com Open · verified Oct 22, 2026
Remote Dallas New York Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Hudson Manpower. Remote, United States · full-time · no salary stated · we estimate $132,450–$205,151 across the United States.

Estimated pay

Hudson Manpower has not published a salary for this role. The figure below is our estimate, not theirs.

$132,450 – $205,151
What the middle half of mid-level AI engineering roles in the United States paid, among postings that did state a salary.
Worked out from 376 postings that stated pay, median $165,000. Last updated Oct 22, 2026.
RoleAI Engineering
SeniorityMid-level
LocationDallas
WorkplaceRemote
EmploymentFull-time
PostedJun 30, 2025 · 1y ago
Also hiring inNew York
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Design and build AI and machine-learning solutions for deployment in cloud-native environments
  • Work with Bedrock, SageMaker, ECS and Lambda to deliver AWS-based AI engineering
  • Put retrieval-augmented generation architectures into practice using the named frameworks and ML tools
  • Show contributions to open-source work across AI, machine learning or cloud projects

What you bring

  • You can code proficiently in Python and Golang
  • You have experience implementing RAG architectures with frameworks such as Transformers, PyTorch or LangChain
  • You have contributed to open-source AI, machine-learning or cloud projects

Who this fits

This remote U.S. role suits an experienced AWS AI engineer with hands-on implementation skills. Applicants must be U.S. citizens or green card holders.

From the employer

Greetings,

We’re looking for a highly experienced AWS AI Engineer to design and implement cutting-edge AI/ML solutions in a cloud-native environment.

Job Title: AWS AI Engineer V

Location: REMOTE USA

TOP SKILLS:

Must Have

AWS services- Bedrock, SageMaker, ECS and Lambda

Demonstrated contributions to open-source AI/ML/Cloud projects

Demonstrated proficiency in Python and Golang coding languages

Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain

LLM

Ph.D. in AI/ML/Data Science

Nice To Have

Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)

FinOps

What You’ll Get

Competitive base salary

Medical, dental, and vision insurance coverage

Optional life and disability insurance provided

401(k) with a company match and optional profit sharing

Paid vacation time

Paid Bench time

Training allowance offering

You’ll be eligible to earn referral bonuses!