Engineer Jobs in Us

83 jobs found

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Today

AWS AI Engineer

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Artificial Intelligence Automation

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Job Description

The role is for a senior AWS AI Engineer at Hudson Manpower, based in Sunnyvale, California with remote working options. The position centers on developing cloud-native AI/ML applications, with a focus on retrieval-augmented generation, fine-tuning large language models, and deploying AWS-based microservices for an enterprise production environment.

Responsibilities

Hands-on development with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to build and operate AI/ML workloads.
Lead the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities.
Work with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Develop cloud-native microservices, APIs, and serverless functions to support 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.
Demonstrate strong verbal and written communication skills in English.

Requirements

Minimum of 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 and deploying ML models to production, including dataset creation.
Proven experience with AWS Organizations and policy guardrails such as SCP and AWS Config.
Solid background in implementing Retrieval-Augmented Generation (RAG) architectures and LangChain.
Proficiency in Infrastructure as Code practices and building Terraform modules for AWS cloud environments.
Strong background in Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with integrated release pipelines.

Technologies

AWS Bedrock
AWS SageMaker
AWS Lambda
AWS Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Git
Python
Golang
Node.js
Hugging Face
AWS Organizations
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 offering
Eligibility for referral bonuses

Supervisory Responsibilities

None

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Today

Operations Data Visualization and Analytics Engineer IV

CareSource Dayton, OH 🇺🇸 Remote

Dayton, OH

Today

$94k - $165k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

CareSource offers a senior data role designed for impact, with remote flexibility and a clear path to influencing leadership decisions through scalable data architectures and insightful dashboards. This Operations Data Visualization and Analytics Engineer IV focuses on building robust database and ETL solutions, crafting Power BI dashboards, and turning complex data into actionable insights that guide cross functional initiatives. The position carries a competitive annual salary range of $94,100 to $164,800, plus a bonus tied to company and individual performance and a comprehensive total rewards package. It supports remote work from within the United States, with the option to base in Dayton, Ohio.

Responsibilities

Design scalable, department-wide database solutions that support reporting capabilities.
Build ETL pipelines for automated data refreshes and regular report delivery.
Create and deploy Power BI dashboards that surface actionable insights for executive decision-making.
Translate datasets and both quantitative and qualitative analyses into clear, decision-ready information for leaders.
Develop advanced analytic tools leveraging the data pipeline to track performance metrics, trends, and benchmarks.
Identify and implement internal process improvements, automate manual tasks, and optimize data delivery.
Conduct sophisticated analyses to deliver insights addressing strategic business questions.
Present analyses in executive-ready formats that are clear, engaging, and impactful.
Develop strategic plans for complex solutions involving multiple stakeholders.
Gather and analyze data, define business requirements, propose technology needs, review specs, and test systems.
Document, test, and validate solutions as needed.
Examine data relationships through testing to answer business questions identified by the department.
Mentor and guide junior team members on key projects.
Establish and enforce coding standards across the team.
Lead and contribute to large-scale data transformation and visualization projects that require cross-functional coordination.
Address multi-dimensional problems by producing reports, dashboards, and presentations.

Requirements

Bachelor's degree in Computer Science, Management Information Systems, or a related field, or foreign degree equivalent.
Seven years of progressively responsible experience with ETL, BI, and database solutions to translate business requirements.
At least three years of this experience in the health plan or healthcare industry.

Technologies

Power BI

Benefits

Bonus tied to company and individual performance.
Total rewards package.

Location and Travel

Based in Dayton, Ohio with remote work flexibility. Candidates may work remotely from anywhere in the United States.

Compensation

Compensation: $94,100.00 to $164,800.00 per year. Compensation type: Salary.

Organizational Competencies

Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business

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Today

AWS AI Engineer

Hudson Manpower New Jersey 🇺🇸 Remote

New Jersey

Today

Full time Amazon Web Services Artificial Intelligence AWS

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Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to design and operate retrieval-augmented generation systems, fine-tune large language models, and deliver cloud-native AI services within an enterprise AWS environment. This remote-friendly role is based in New Jersey and offers a collaborative culture, clear ownership of AI workflows, and the chance to influence how AI solutions support business outcomes.

You will join a team that values open communication, structured CI/CD processes, and a focus on building secure, scalable AI capabilities. The position comes with a competitive compensation package, comprehensive health coverage, and ongoing professional development opportunities.

Responsibilities

Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3
Own the implementation of AWS cloud services across infrastructure, machine learning, and AI platform services
Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) 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
Exhibit excellent verbal and written communication in English

Requirements

7 years of hands-on software engineering experience with a strong focus on Python
Extensive experience with AWS services, especially Bedrock or SageMaker
Familiar 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 implementing RAG architectures and LangChain
Experience with Infrastructure as Code best practices and building Terraform modules for AWS
Strong Git-based version control, code reviews, and DevOps workflows
Proven success delivering production-ready software with release pipeline integration

Technologies

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

Supervisory Responsibilities

None

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1d ago

AWS AI Engineer

Hudson Manpower Richmond, VA 🇺🇸 Remote

Richmond, VA

1d ago

Full time Backend Developer AI Ai Workflows

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Job Description

Hudson Manpower is seeking an accomplished AWS AI Engineer to lead hands-on development of retrieval-augmented generation solutions and refine large language models. This senior role, based in Richmond, Virginia with remote work flexibility, focuses on deploying AWS-native microservices to advance automation and governance in production environments. The ideal candidate brings a strong Python background and a proven ability to translate complex requirements into scalable AI systems on AWS.

Responsibilities

Engage hands-on with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to build and deploy AI-enabled solutions.
Design and implement AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities.
Develop and deploy LLM-based applications, including Retrieval-Augmented Generation (RAG) workflows using LangChain and related frameworks.
Create cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to map business goals into secure, scalable AI architectures.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Contribute to the development and evolution of reusable platform components for AI/ML operations.
Produce and maintain technical documentation for the team and internal customers.
Demonstrate excellent verbal and written communication in English.

Requirements

Minimum of 7 years of hands-on software engineering experience with a strong emphasis 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.
Solid background with AWS organizations and policy guardrails (SCP, AWS Config).
Proven experience implementing RAG architectures and using LangChain.
Strong IaC practices and experience building Terraform modules for AWS cloud environments.
Robust background in Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with integrated release pipelines.

Technologies

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

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
Eligibility for referral bonuses

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

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1d ago

AWS AI Engineer

Hudson Manpower San Jose, CA 🇺🇸 Remote

San Jose, CA

1d ago

Full time AI Ai Workflows Artificial Intelligence

Apply Now

Job Description

Hudson Manpower is seeking a senior AWS AI Engineer to join their San Jose area team with remote work options. The role centers on hands-on development of AI and ML applications in AWS, with a focus on retrieval-augmented generation (RAG), fine-tuning large language models, and building AWS-native microservices to support enterprise automation and governance.

Responsibilities

Hands-on development across AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Own the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Work with LLM-based applications, including RAG approaches using LangChain and similar 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.
Demonstrate strong English communication skills, both verbal and written.

Requirements

Seven years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, notably 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 such as SCPs and AWS Config.
Proven ability to implement RAG architectures and work with LangChain.
Experience in infrastructure as code best practices and building Terraform modules for AWS.
Solid background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with integrated release pipelines.

Technologies

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

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
Eligible for referral bonuses

Supervisory Responsibilities

None

Nice-to-Haves

AWS or relevant cloud certifications
Policy as Code development experience (eg, 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)

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1d ago

Technical Support Engineer- (Remote)

GE Vernova Massachusetts 🇺🇸 Remote

Massachusetts

1d ago

$87k - $145k/yr Full time Electrical Engineering Automation Field Service

Apply Now

Job Description

This Technical Support Engineer role provides technical leadership and both remote and on-site support for offshore wind turbine service operations, based in Massachusetts with remote work flexibility. The position serves as the primary contact for service operations leadership, production engineers, supervisors, and technicians, and drives continuous improvement in service activity preparation.

Responsibilities

Provide first-level remote technical troubleshooting for turbine issues to service teams, with periodic on-site support as needed, and escalate to the appropriate technical specialists to meet commissioning timelines related to the turbine controller.
Create and manage technical cases, work orders, and non-conformities to update instructions, tools, and troubleshooting guides, or address customer technical queries in line with project and quality processes.
Support Work Order readiness by defining priority and assist the back-office purchasing team with tooling and spares lists to smooth daily planning and execution.
Coordinate daily planning calls with offshore vessels to support execution planning and optimize activities for the following day.
Collaborate with design and technical support teams to develop world-class troubleshooting guides to reinforce service technical independence and boost daily efficiency.
Lead technical and operational improvements affecting the main controller, HMI, or SCADA functions for technician operations as well as site-specific operations during grid outages.
Drive process improvements focusing on digitalization, data analytics, and EHS compliance.
Analyze data for continuous improvement in operational safety and quality, with special focus on warnings analysis and control improvements across overall warning strategies.

Requirements

8 years of Offshore Wind Farm experience.
Degree or Diploma in Electrical, Mechatronics, or Industrial Engineering.
Proven track record in wind turbine operation and troubleshooting is mandatory.
Strong understanding of wind turbine systems including electrical, mechanical, controls, and network and communication systems.
Offshore wind experience is highly desirable due to logistical complexity and offshore operational challenges.
Experience with continuous improvement and quality tools applied to service operations.
Strong problem-solving, analytical, and interpersonal skills.
Flexibility, motivation, and ability to work under pressure with the ability to manage multiple priorities simultaneously.
Strong communication, goal-driven and team-player skills.
Understanding of English language for global procedures.

Technologies

SCADA
HMI

Benefits

Medical, dental, vision, and prescription drug coverage
Health Coach from GE Vernova (24/7 nurse-based resource)
Employee Assistance Program (24/7 confidential assessment, counseling and referral services)
GE Vernova Retirement Savings Plan with company matching contributions
Access to Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off

Working Relationships

Reports to Technical Support Leader
Supports Operations execution teams, including both supervisors and technicians, whether locally at turbines or remotely in the Remote Operation Center
Maintains a strong relationship with the Control team within the Engineering organization

Relocation Assistance Provided

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2d ago

AWS AI Engineer

Hudson Manpower Buffalo Grove, IL 🇺🇸 Remote

Buffalo Grove, IL

2d ago

Full time AI Amazon Web Services Artificial Intelligence

Apply Now

Job Description

The AWS AI Engineer role is a senior position focused on designing and delivering production-grade AI and ML capabilities on AWS. The emphasis is on retrieval-augmented generation, fine-tuning large language models, and building AWS-native microservices to support enterprise automation and governance.

Responsibilities

Hands-on development with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Architect and implement AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities.
Build and deploy LLM-based applications, including Retrieval-Augmented Generation using LangChain and other frameworks.
Develop cloud-native microservices, APIs, and serverless components 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.
Contribute to reusable platform components for AI/ML operations and tooling.
Create and maintain technical documentation for teams and internal customers.
Maintain strong written and verbal communication in English.

Requirements

Minimum of seven years of hands-on software engineering experience with a strong emphasis on Python.
Proficiency with AWS services, particularly Bedrock, SageMaker, ECS, and Lambda.
Experience with AWS Organizations and policy guardrails, including SCP and AWS Config.
Background in Retrieval-Augmented Generation architectures and using LangChain and other frameworks.
Experience fine-tuning large language models, building datasets, and deploying ML models to production.
Demonstrated IaC expertise, including building Terraform modules for AWS.
Solid Git-based version control practices, code reviews, and DevOps workflows.
Track record of delivering production-ready software with integrated release pipelines.

Technologies

Python
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

Supervisory Responsibilities

None

Minimum Knowledge, Skills, and Abilities Required

Seven years of hands-on software engineering experience with a strong Python focus.
Experience with AWS services, especially 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 experience implementing RAG architectures and LangChain.
IaC best practices and Terraform module development for AWS.
Strong Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

Nice-to-Haves

AWS or relevant cloud certifications.
Policy as Code development, e.g., Terraform Sentinel.
Experience with Hugging Face, Golang, or Node.js.
Exposure to FinOps and cloud cost optimization.
Data science background or experience with structured/unstructured data.
Awareness of data privacy and compliance best practices, including PII handling and secure model deployment.