Data Jobs in Morton Grove, IL

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1mo ago

AWS AI Engineer

Hudson Manpower Morton Grove, IL 🇺🇸 Remote

Morton Grove, IL

1mo ago Closed

Full time Backend Developer AI Amazon Web Services

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

Based in Morton Grove, IL with remote options, this role offers a competitive base salary and a robust benefits package, including medical, dental, and vision coverage, a 401(k) with company match plus potential profit sharing, paid vacation, a training allowance, and referral bonuses. The position centers on building AI and ML applications on AWS, with emphasis on retrieval-augmented generation, fine-tuning large language models, and developing AWS-native microservices for enterprise automation.

Responsibilities

Engage hands-on with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud solutions spanning infrastructure, machine learning workloads, and AI platform services.
Work with LLM based applications, implementing Retrieval-Augmented Generation (RAG) using LangChain and related 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, managing CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate strong verbal and written communication in English.

Requirements

Proficiency with AWS Bedrock, SageMaker, ECS, and Lambda.
Experience with AWS Organizations and policy guardrails such as SCPs and AWS Config.
Background in implementing RAG architectures and working with ML tooling including Transformers, PyTorch, TensorFlow, and LangChain.
Solid experience with Infrastructure as Code best practices and building Terraform modules for AWS cloud.
Skill in fine-tuning large language models, building datasets, and deploying ML models to production.
Git-based version control, code reviews, and DevOps workflows.

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

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