AWS AI Engineer

Hudson Manpower is looking for a Senior AWS AI Engineer to design and deliver production-grade AI and ML services on AWS, with a focus on retrieval-augmented generation and fine-tuning large language models. The role supports enterprise automation and governance through AWS-native microservices, enabling scalable AI solutions across business processes. This position is based in Buffalo Grove, Illinois, with remote work options available.

Responsibilities

• Direct, hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
• Implement AWS cloud services spanning infrastructure, machine learning, and AI platform offerings.
• Develop LLM-based applications, incorporating Retrieval-Augmented Generation (RAG) with LangChain and related frameworks.
• Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
• Partner with internal stakeholders to translate business goals into secure, scalable AI systems.
• Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
• Support the development and evolution of reusable platform components for AI/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, SageMaker, ECS, and Lambda.
• Familiarity with AWS Organizations and policy guardrails (SCP, AWS Config).
• Experience with Retrieval-Augmented Generation (RAG) architectures and using LangChain and similar frameworks.
• Proficiency in fine-tuning large language models, building datasets, and deploying ML models to production.
• Strong background in Infrastructure as Code best practices with experience building Terraform modules for AWS.
• Solid experience with Git-based version control, code reviews, and DevOps workflows.
• Proven track record of delivering production-ready software with release pipeline integration.

Technologies

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

Benefits

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

Minimum Knowledge, Skills, and Abilities Required

• 7 years of hands-on software engineering experience with a strong emphasis on Python.
• Experience with AWS services, particularly Bedrock or SageMaker.
• Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
• Experience with AWS Organizations and policy guardrails (SCP, AWS Config).
• Solid background in implementing RAG architectures and LangChain.
• Experience with Infrastructure as Code practices and Terraform module development for AWS.
• Strong 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 such as Terraform Sentinel
• Experience with Hugging Face, Golang, or Node.js
• Exposure to FinOps and cloud cost optimization
• Data science background or experience with structured and 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
• 401(k) with company match and optional profit sharing
• Paid vacation time
• Paid bench time
• Training allowance
• Eligibility for referral bonuses