DataJobs.io
← Back to all jobs
Hudson Manpower

AWS AI Engineer

Hudson Manpower
Waukesha, WI Remote Full time Posted 6d ago
Artificial Intelligence Automation AWS Aws Bedrock Cloud Infrastructure Cloud Operations Cloud Platform Deep Learning DevOps DevSecOps Dynamodb Generative AI Infrastructure As Code Lambda Machine Learning Engineer PyTorch SageMaker Software Engineering TensorFlow Terraform Terraform Sentinel
Apply Now

Job Description

The role centers on delivering production AI and ML applications on AWS, with emphasis on retrieval-augmented generation, fine-tuning large language models, and cloud-native microservices in a remote-friendly setup based in Waukesha, WI.

Responsibilities

  • Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
  • Implement AWS cloud services covering infrastructure, machine learning, and AI platform services.
  • Develop LLM based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.
  • Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
  • Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
  • Own the software release lifecycle, including CI/CD pipelines, GitHub SDLC, and infrastructure as code with Terraform.
  • Support development and evolution of reusable platform components for AI and ML operations.
  • Create and maintain technical documentation for the team and internal customers.
  • Communicate effectively in English, both verbally and in writing.

Requirements

  • 7 years of hands-on software engineering experience with a strong focus on Python.
  • Experience with AWS services, especially Bedrock or SageMaker.
  • Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
  • Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).
  • Solid experience implementing RAG architectures and LangChain.
  • Experience in Infrastructure as Code best practices and building Terraform modules for AWS cloud.
  • Strong background in Git-based version control, code reviews, and DevOps workflows.
  • Proven success delivering production-ready software with release pipeline integration.

Technologies

  • Python, Bedrock, SageMaker, ECS, Lambda, Step Functions, DynamoDB, S3
  • LangChain, Transformers, PyTorch, TensorFlow
  • Terraform, Terraform Sentinel
  • Git, GitHub, Hugging Face
  • Node.js, Golang

Benefits

  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • Referral bonuses

Top Skills

  • Must Have
    • AWS services Bedrock, SageMaker, ECS and Lambda
    • Experience with AWS organizations and policy guardrails (SCP, AWS Config)
    • Experience implementing RAG architectures and using tools like Transformers, PyTorch, TensorFlow, and LangChain
    • Infrastructure as Code practices and building Terraform modules for AWS
    • Fine-tuning large language models, building datasets and deploying ML models to production
    • Git-based version control, code reviews, and DevOps workflows
  • Nice To Have
    • AWS or relevant cloud certifications
    • Policy as Code development (Terraform Sentinel)
    • Experience with Hugging Face, Golang, or Node.js
    • Exposure to FinOps and cloud cost optimization
    • Data science background or experience with structured/unstructured data
    • Awareness of data privacy and compliance best practices (PII handling, secure model deployment)

Supervisory Responsibilities

  • None

Minimum Knowledge, Skills, and Abilities Required

  • 7 years of hands-on software engineering experience with a strong focus on Python.
  • Experience with AWS services, especially Bedrock or SageMaker.
  • Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
  • Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).
  • Solid experience implementing RAG architectures and LangChain.
  • Demonstrated experience in Infrastructure as Code best practices and building Terraform modules for AWS cloud.
  • Strong background in Git-based version control, code reviews, and DevOps workflows.
  • Demonstrated success delivering production-ready software with release pipeline integration.

Nice-To-Haves

  • AWS or relevant cloud certifications.
  • Policy as Code development (e.g., Terraform Sentinel).
  • Experience with Hugging Face, Golang, or Node.js.
  • Exposure to FinOps and cloud cost optimization.
  • Data science background or experience with structured/unstructured data.
  • Awareness of data privacy and compliance best practices (PII handling, secure model deployment).

What You'll Get

  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • You will be eligible to earn referral bonuses

Similar Jobs