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3 jobs found

Today

AWS AI Engineer

Hudson Manpower Pittsburgh, PA 🇺🇸 Remote

Pittsburgh, PA

Today

Full time AI Amazon Web Services Artificial Intelligence

Apply Now

Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to architect and operate production AI/ML applications on AWS, with a focus on retrieval-augmented generation, fine-tuning large language models, and cloud-native microservices. The role centers on delivering secure AI services that integrate with live infrastructure data, built to scale and operate within live environments. The position is based in Pittsburgh, PA with remote work options and requires seven years of hands-on software engineering experience.

Responsibilities

Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to implement cloud infrastructure, machine learning features, and AI platform capabilities.
Own the deployment of AWS cloud services, spanning infrastructure, ML workflows, and AI platform services.
Develop and maintain LLM based applications, including 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.
Manage the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support a reusable set of platform components for AI/ML operations and their evolution.
Create and maintain technical documentation for the team and internal customers.
Provide clear verbal and written communication in English.

Requirements

Seven 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 navigating AWS organizations and policy guardrails such as SCP and AWS Config.
Solid track record implementing RAG architectures and using LangChain.
Proven experience with Infrastructure as Code best practices and building Terraform modules for AWS.
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, Git, GitHub
Hugging Face, Node.js, Golang
Terraform Sentinel, AWS Config, SCP

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

Top Skills

Experience with AWS services including Bedrock, SageMaker, ECS, and Lambda
Strong knowledge of AWS organizations and policy guardrails (SCP, AWS Config)
Proficiency in 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
Fine-tuning large language models, building datasets, and deploying ML models to production
Git-based version control, code reviews, and DevOps workflows
AWS or relevant cloud certifications
Data privacy and compliance best practices, including 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 (Terraform Sentinel)

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5d ago

AWS AI Engineer

Hudson Manpower Harrisburg, PA 🇺🇸 Remote

Harrisburg, PA

5d ago

Full time AI Amazon Web Services Artificial Intelligence

Apply Now

Job Description

Hudson Manpower seeks an accomplished AWS AI Engineer to design and deploy AI and ML solutions on AWS. The role centers on building scalable AI applications, including retrieval-augmented generation systems, fine-tuning large language models, and developing AWS-native microservices to support enterprise automation and governance. The position is based in Harrisburg, PA with remote work options.

Responsibilities

Engage hands-on with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to architect and implement AI capabilities.
Lead the deployment of AWS cloud services spanning infrastructure, machine learning, and AI platform services for enterprise scale automation and governance.
Develop LLM driven applications, including Retrieval-Augmented Generation 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, including CI/CD pipelines, a 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.
Exhibit strong English communication skills, both spoken and written.

Requirements

Seven years of hands-on software engineering experience with a strong focus on Python.
Proficiency with AWS services, particularly Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Demonstrated experience with AWS Organizations and policy guardrails such as SCPs and AWS Config.
Solid background in implementing Retrieval-Augmented Generation architectures and LangChain.
Experience implementing Infrastructure as Code best practices and building Terraform modules for AWS.
Strong Git-based version control, code reviews, and DevOps workflows.
Proven ability to deliver production-ready software with release pipeline integration.
AWS or relevant cloud certifications.
Policy as Code development experience, for example Terraform Sentinel.
Experience with Hugging Face, Golang, or Node.js.
Exposure to FinOps and cloud cost optimization.
Data science background or experience working with structured or unstructured data.
Awareness of data privacy and compliance best practices such as PII handling and secure model deployment.

Technologies

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

Benefits

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

Top Skills

Must Have

AWS services including Bedrock, SageMaker, ECS, and Lambda
Experience with AWS Organizations and policy guardrails (SCPs, AWS Config)
Proficiency in implementing RAG architectures and ML tooling such as Transformers, PyTorch, TensorFlow, and LangChain
Infrastructure as Code best 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
AWS or relevant cloud certifications
Policy as Code development (Terraform Sentinel)
Experience with Hugging Face, Node.js, or Golang
Exposure to FinOps and cloud cost optimization
Data science background or experience with structured or unstructured data
Awareness of data privacy and compliance best practices (PII handling, secure model deployment)

Nice To Have

Additional cloud certifications or advanced AWS capabilities
Further experience with data privacy and compliance programs
Deeper background in data science across diverse data types
Continued exposure to FinOps practices and cost optimization strategies
Experience with additional ML frameworks or libraries beyond those listed
Policy as Code development beyond Terraform Sentinel

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5d ago

AWS AI Engineer

Hudson Manpower Sacramento, CA 🇺🇸 Remote

Sacramento, CA

5d ago

Full time AI Artificial Intelligence Automation

Apply Now

Job Description

Senior AI AWS Engineer role based in Sacramento, CA (remote), focused on building retrieval-augmented generation (RAG) systems and production AI/ML services on AWS.

Responsibilities

Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to design and operate AI solutions.
Lead the implementation of AWS cloud services across infrastructure, ML, and AI platform services.
Develop LLM-based applications, including Retrieval-Augmented Generation workflows 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-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.
Excellent verbal and written communication in English.

Requirements

Minimum 7 years of hands-on software engineering experience with a strong focus on Python.
Proficient with AWS services, notably Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and governance guardrails such as SCPs and AWS Config.
Proven track record implementing RAG architectures and LangChain.
IaC best practices and building Terraform modules for AWS.
Strong Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with integrated release pipelines.

Technologies

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

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 eligibility

View full job page →

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