AWS AI Engineer

Hudson Manpower; Buffalo Grove (IL); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive base salary

Medical, dental, and vision insurance

401(k) with company match and profit分享

Paid vacation and bench time

Training allowance

Referral bonuses

Job summary

Hudson Manpower is seeking a Senior AWS AI Engineer in Buffalo Grove, IL to design and deliver production-grade AI/ML services on AWS. The role focuses on retrieval-augmented generation and fine-tuning large language models, enabling scalable AI solutions across business processes.

The position supports enterprise automation and governance through AWS-native microservices, with remote work options available.

Qualifications

• 7+ years of hands-on software engineering experience, with strong Python focus.
• Experience with AWS services including Bedrock, SageMaker, ECS, and Lambda.
• Familiarity with AWS Organizations, SCP, and AWS Config.
• Experience with Retrieval-Augmented Generation (RAG) and LangChain.
• Proficiency in fine-tuning LLMs, building datasets and deploying ML models.
• Strong IaC background with Terraform modules for AWS.
• Git-based version control and DevOps workflows.
• Proven record of delivering production-ready software with release pipelines.

Responsibilities

• Direct hands-on work with AWS services and cloud infrastructure.
• Develop LLM-based applications and RAG architectures.
• Build cloud-native microservices, APIs, and serverless functions.
• Translate business goals into secure, scalable AI systems.
• Own CI/CD, SDLC in GitHub, and infrastructure as code.
• Create and maintain technical documentation.
• Collaborate with stakeholders to enable automation across processes.

Skills

Python programming

CI/CD

Software engineering

Tools

AWS Bedrock

SageMaker

ECS

Lambda

LangChain

Terraform

PyTorch

Job description

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