Top 603 To go Jobs in Largo Md

AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —McLean, VA
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —Maryland
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
AI Engineer 1 - Platform Integration & AI/Data
The Nuclear Company —Washington, DC
- $80,000 - $150,000 a year
- Computer Science
- Java
- AWS
- Health insurance
- Dental insurance
Software Engineer (Contract)
Civis Analytics —Washington, DC
- $90,000 a year
- Contract
- Remote
- Computer Science
- Research
- Mid-level
- Commuter assistance
- Paid parental leave
Quick Apply
Customer Success Engineer
Cloudbolt Software Inc —Rockville, MD
- $100,000 - $120,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- DevOps
- Paid parental leave
- Health insurance
Quick Apply
Infrastructure Engineer (Mid-level) [TS/SCI]
Spear AI —Suitland, MD
- Full-time
- Hybrid work
- Mid-level
- AWS
- Analysis skills
- Paid holidays
- Disability insurance
Mixed Reality Developer
Palantir Technologies —Washington, DC
- $145,000 - $200,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- Commuter assistance
- Paid parental leave
Front End Developer
MANTECH —Annapolis Junction, MD
- Full-time
- Computer Science
- Office
- 3 years
Senior Forward Deployed Engineer - Kubernetes
Stacklok —Washington, DC
- $189,000 - $231,000 a year
- Remote
- Travel
- Mentoring
- Senior level
- Paid parental leave
- Paid holidays
Senior Test Automation Engineer
Clearwaters.IT —Washington, DC
- Remote
- Azure
- Computer Science
- Research
- AD&D insurance
- Dental insurance
Quick Apply
Cloud Software and Support Engineer - Early Career
CACI —Hanover, MD
- $69,100 - $141,500 a year
- Full-time
- Remote
- Computer Science
- Bachelor of Science
- System design
- Health insurance
4d
Jr. Software Developer
Space Ground System Solutions —Alexandria, VA
- $74,880 - $97,760 a year
- Full-time
- Computer Science
- Software troubleshooting
- Bachelor of Science
- Health savings account
- Disability insurance
Quick Apply
Associate Delivery Consultant - AIML, Professional Services A2C Delivery
Amazon Web Services, Inc. —Jessup, MD
- $98,200 - $160,000 a year
- Full-time
- Computer Science
- Java
- Mentoring
- AD&D insurance
- Health insurance
Staff Forward Deployed Engineer - Kubernetes
Stacklok —Washington, DC
- $216,000 - $264,000 a year
- Remote
- Travel
- Mentoring
- Senior level
- Paid parental leave
- Paid holidays
1d
Information Technology Senior Consultant Level 5 Columbia, MD TS/SCI Full Scope Polygraph
SNS One, Inc. —Columbia, MD
- $180,000 - $250,000 a year
- System design
- 11+ years
- High school diploma or GED
Infrastructure Engineer (Senior) [TS/SCI]
Spear AI —Suitland, MD
- Full-time
- Hybrid work
- AWS
- Analysis skills
- Computer networking
- Paid holidays
- Disability insurance
DevOps Engineer
Palantir Technologies —Washington, DC
- $135,000 - $200,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Research
- Commuter assistance
- Paid parental leave
Staff Software Engineer - Search / AI
CVS Health —Washington, DC
- $106,605 - $284,280 a year
- Full-time
- Remote
- Azure
- System design
- High school diploma or GED
- Health insurance
- Dental insurance
Fullstack Engineer
Koalafi —Arlington, VA
- $115,000 - $141,000 a year
- Remote
- System design
- Mid-level
- AWS
- Commuter assistance
- Paid holidays
Software Engineer - Mid
Spear AI —Bolling AFB, DC
- Full-time
- Remote
- Military
- System design
- Mid-level
- Paid holidays
- Disability insurance

I want to receive the latest job alert for to go in largo md

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

to go jobs near largo md

Forward Deployed Engineer jobs in Washington, DC

Infrastructure Engineer jobs in Washington, DC

Cloud Engineer jobs in Hanover, MD

Devops Engineer jobs in Washington, DC

Customer Success Manager jobs in Rockville, MD

Ai Developer jobs in Washington, DC

Senior Automation Engineer jobs in Washington, DC

Software Engineer jobs in Washington, DC

Front End Developer jobs in Annapolis Junction, MD

Junior Software Engineer jobs in Alexandria, VA

Staff Software Engineer jobs in Washington, DC

Full Stack Developer jobs in Arlington, VA

Forward Deployed Engineer jobs in San Jose, CA

Forward Deployed Engineer jobs in Raleigh, NC

Software Engineer jobs in Maine

Facilities Engineer jobs in Boston, MA

Forward Deployed Engineer jobs in San Francisco Bay Area, CA

Forward Deployed Engineer jobs in Irvine, CA

Manufacturing Engineer jobs in Cleveland, OH

Delivery Consultant jobs in Atlanta, GA

AWS AI Engineer / USC and GC Candidates can ONLY Apply

Hudson Manpower
McLean, VA

Quick Apply

Job Details

Full-time

Benefits

Profit sharing
Paid training
Disability insurance
Health insurance
Dental insurance
Vision insurance
401(k) matching
Referral program

Qualifications

AI models
Function as a Service (FaaS)
Software engineering
Tooling
Infrastructure as Code (IaC)
Amazon ECS
Software implementation
Amazon SageMaker
Generative models
Application deployment
AI platforms (beyond public GPTs)
Computational framework
Enterprise software systems development
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Version control systems
Terraform
Developing large-scale AI models
System deployment
Cloud automation
Cloud solution engineering
DevOps automation
Machine learning libraries
Machine learning frameworks
MLOps
Generative AI
Providing code feedback
AWS Lambda

Full Job Description

Job Title: AWS AI Engineer

Location: REMOTE USA

TOP SKILLS:
Must Have

AWS services- Bedrock, SageMaker, ECS and Lambda

Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)

Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain

Experience in Infrastructure as Code best practices and experience with 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 best practices (e.g., PII handling, secure model deployment)

Data science background or experience working with structured/unstructured data

Exposure to FinOps and cloud cost optimization

Hugging Face, Node.js

Policy as Code development (I.e. Terraform Sentinel)

What You’ll Do

GENERAL FUNCTION:
We are hiring a Sr AI AWS Engineer who has actually built AI/ML applications in cloud—not just read about them. This role centers on hands-on development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an enterprise environment. You’ll design and deliver scalable, secure services that bring large language models into real operational use—connecting them to live infrastructure data, internal documentation, and system telemetry.

You’ll be part of a high-impact team pushing the boundaries of cloud-native AI in a real-world enterprise setting. This is not a prompt-engineering sandbox or a resume keyword trap. If you’ve merely dabbled in BedRock, mentioned RAG on LinkedIn, or read about vector search—this isn’t the right fit. We’re looking for candidates who have architected, developed, and supported AI/ML services in production environments.

This is a builder’s role within our Public Cloud AWS Engineering team. We aren’t hiring buzzword lists or conference attendees. If you’ve built something you’re proud of—especially if it involved real infrastructure, real data, and real users—we’d love to talk. If you’re still learning, that’s great too—but this isn’t an entry-level role or a theory-only position.

DUTIES AND RESPONSIBILITIES:
Hands-on role using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3).

Responsible for the implementation of AWS cloud services including infrastructure, machine learning, and artificial intelligence platform services.

Experience with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.

Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.

Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems.

Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform).

Support the development and evolution of reusable platform components for AI/ML operations.

Create and maintain technical documentation for the team to reference and share with our internal customers.

Excellent verbal and written communication skills in English.

SUPERVISORY RESPONSIBILITIES: None

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
7 years of hands-on software engineering experience with a strong focus on Python.

Experienced with AWS services, especially Bedrock or SageMaker

Familiar with fine-tuning large language models or building datasets and/or deploying ML models to production.

Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).

Solid experience implementing RAG architectures and LangChain.

Demonstrated experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud.

Strong background in 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 (e.g., 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/unstructured data.

Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment).

What You’ll Get

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

You’ll be eligible to earn referral bonuses!

Quick Apply

Refine Your Search

to go jobs in largo md

AWS AI Engineer / USC and GC Candidates can ONLY Apply

AWS AI Engineer / USC and GC Candidates can ONLY Apply

AI Engineer 1 - Platform Integration & AI/Data

Software Engineer (Contract)

Customer Success Engineer

Infrastructure Engineer (Mid-level) [TS/SCI]

Mixed Reality Developer

Front End Developer

Senior Forward Deployed Engineer - Kubernetes

Senior Test Automation Engineer

Cloud Software and Support Engineer - Early Career

Jr. Software Developer

Associate Delivery Consultant - AIML, Professional Services A2C Delivery

Staff Forward Deployed Engineer - Kubernetes

Information Technology Senior Consultant Level 5 Columbia, MD TS/SCI Full Scope Polygraph

Infrastructure Engineer (Senior) [TS/SCI]

DevOps Engineer

Staff Software Engineer - Search / AI

Fullstack Engineer

Software Engineer - Mid

I want to receive the latest job alert for to go in largo md

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected