Engineer Jobs in Morton Grove, IL

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AWS AI Engineer

Hudson Manpower Morton Grove, IL 🇺🇸 Remote

Morton Grove, IL

Today

Full time Backend Developer AI Amazon Web Services

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Job Description

Senior AWS AI Engineer responsible for delivering AI/ML applications on AWS, focusing on retrieval-augmented generation (RAG), fine-tuning LLMs, and AWS-native microservices for enterprise automation.

Responsibilities

Hands-on work with AWS services such as AWS Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to build and operate AI/ML capabilities.
Design and implement AWS cloud services spanning infrastructure, ML platforms, and AI services to support enterprise automation.
Develop LLM based applications, including Retrieval-Augmented Generation using LangChain and other frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, managing CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate excellent verbal and written communication skills in English.

Requirements

Hands-on experience with AWS services such as Bedrock, SageMaker, ECS, and Lambda.
Experience with AWS Organizations and policy guardrails, including SCPs and AWS Config.
Proven experience implementing RAG architectures and working with ML frameworks/tools such as Transformers, PyTorch, TensorFlow, and LangChain.
Strong Infrastructure as Code practices and experience building Terraform modules for AWS.
Fine-tuning large language models, building datasets, and deploying ML models to production.
Experience with Git-based version control, code reviews, and DevOps workflows.
Minimum 7 years of relevant professional experience.

Technologies

AWS Bedrock
AWS SageMaker
AWS ECS
AWS Lambda
AWS Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Hugging Face
Node.js
Git

Benefits

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
Referral bonuses

Top Skills

Must Have
- AWS Bedrock
- AWS SageMaker
- AWS ECS
- AWS Lambda
- Experience with AWS Organizations and policy guardrails (SCP, AWS Config)
- Experience implementing RAG architectures and using ML tooling like Transformers, PyTorch, TensorFlow, and LangChain
- Infrastructure as Code best practices and building Terraform modules for AWS
- Fine-tuning LLMs, 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
- Data privacy and compliance best practices (PII handling, secure model deployment)
- Data science background or experience with structured/unstructured data
- Exposure to FinOps and cloud cost optimization
- Hugging Face, Node.js
- Policy as Code development (Terraform Sentinel)

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