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Chatgpt Engineer Jobs in Washington (NOW HIRING)

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Cloud Infrastructure & Automation Engineer -- AWS / Terraform Remote Public Trust eligibility ... Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools ...

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Cloud Infrastructure & Automation Engineer -- AWS / Terraform Remote Public Trust eligibility ... Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools ...

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Cloud Infrastructure & Automation Engineer -- AWS / Terraform Remote Public Trust eligibility ... Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools ...

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Cloud Infrastructure & Automation Engineer -- AWS / Terraform Remote Public Trust eligibility ... Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools ...

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Cloud Infrastructure & Automation Engineer -- AWS / Terraform Remote Public Trust eligibility ... Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools ...

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Cloud Infrastructure & Automation Engineer -- AWS / Terraform Remote Public Trust eligibility ... Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools ...

AWS DevOps Engineer

Rockville, MD · Hybrid

$98K - $163K/yr

Experience usingAI-assisted coding tools(e.g.,GitHub Copilot, ChatGPT, Cursor, Kiro) to accelerate ... Engineer - Professional(or equivalent). * CompTIA Security+. * Exp with Grants.gov applications.

AWS DevOps Engineer

Mclean, VA · Hybrid

$98K - $163K/yr

Experience usingAI-assisted coding tools(e.g.,GitHub Copilot, ChatGPT, Cursor, Kiro) to accelerate ... Engineer - Professional(or equivalent). * CompTIA Security+. * Exp with Grants.gov applications.

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Cloud Infrastructure & Automation Engineer -- AWS / Terraform Remote Public Trust eligibility ... Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools ...

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Cloud Infrastructure & Automation Engineer -- AWS / Terraform Remote Public Trust eligibility ... Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools ...

AWS DevOps Engineer

Rockville, MD · On-site

$98K - $163K/yr

Experience using AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Cursor, Kiro) to ... Engineer - Professional (or equivalent). * CompTIA Security+. * Exp with Grants.gov applications.

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Hands-on experience with AI development tools (GitHub Copilot, Q Developer, ChatGPT, Claude, etc.) * Experience with spec-driven development - using structured specifications to guide AI code ...

GenAI Engineer

Rockville, MD · On-site

$116K - $140K/yr

... ChatGPT, Claude, etc.) • Experience with spec-driven development - using structured specifications to guide AI code generation, review, and validation • Ability to leverage AI pair programming ...

AWS DevOps Engineer

Rockville, MD · On-site

$98K - $163K/yr

Experience using AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Cursor, Kiro) to ... Engineer - Professional (or equivalent). * CompTIA Security+. * Exp with Grants.gov applications.

New

G, Prompt Engineering Expertise, Large Language Model Expertise (Selection, fine tuning, and ... Familiarity with NVIDIA AI Foundations and OpenAI ChatGPT. * Experience with AI-assisted ...

Showing results 41-60

Chatgpt Engineer information

What is a ChatGPT engineer?

ChatGPT Engineers are specialized software engineers who design, develop, and optimize applications or solutions that utilize OpenAI's ChatGPT models. Their work often includes integrating ChatGPT into products, fine-tuning models for specific use-cases, and ensuring responsible and effective AI deployment. They also handle tasks such as prompt engineering, API integration, and system maintenance to deliver high-quality conversational AI experiences. Additionally, ChatGPT Engineers collaborate with data scientists, product managers, and UX designers to enhance and monitor AI performance.

What are some common challenges ChatGPT engineers face when deploying conversational AI models in production environments?

ChatGPT Engineers often encounter challenges such as optimizing model performance for real-time responses, ensuring data privacy and security, and fine-tuning models to handle ambiguous or sensitive user queries effectively. They must balance delivering accurate, context-aware answers while minimizing bias and maintaining compliance with organizational policies. Additionally, engineers regularly collaborate with product managers, UX designers, and data scientists to refine conversational flows and continuously improve user experience.

What is the difference between Chatgpt Engineer vs AI Developer?

AspectChatgpt EngineerAI Developer
Required CredentialsBachelor's in CS, AI, or related fields; experience with NLP and API integrationBachelor's or higher in CS, AI, or related fields; strong programming and ML skills
Work EnvironmentTech companies, startups, AI service providers; focus on chatbot and NLP solutionsResearch labs, tech firms, startups; broader AI application development
Employer & Industry UsagePrimarily in AI-driven customer support, chatbots, and NLP toolsAcross various sectors including healthcare, finance, and tech for AI solutions

While both roles involve AI and NLP, Chatgpt Engineers specialize in developing and optimizing ChatGPT-based applications, whereas AI Developers work on broader AI projects across multiple domains. The roles overlap in skills but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a ChatGPT engineer?

To thrive as a ChatGPT Engineer, you need strong programming skills in Python, a solid understanding of machine learning fundamentals, and experience with large language models, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, cloud platforms such as AWS or Azure, and knowledge of APIs or deployment pipelines is typically required. Excellent problem-solving, collaboration, and clear communication are vital soft skills for integrating AI solutions into real-world applications and working with cross-functional teams. These skills are crucial for developing robust, scalable, and user-friendly AI systems that meet business needs and ensure ethical, responsible use of language models.

What job categories do people searching Chatgpt Engineer jobs in Washington look for?

The top searched job categories for Chatgpt Engineer jobs in Washington are:

Infographic showing various Chatgpt Engineer job openings in Washington as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AWS Cloud Infrastructure Engineer

System One

Mclean, VA • Remote

$110K - $144K/yr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Job description

Cloud Infrastructure & Automation Engineer — AWS / Terraform Remote Public Trust eligibility required Candidates must be able to work without sponsorship

ALTA IT Services is seeking a Cloud Infrastructure & Automation Engineer to support a federal health program. This role is focused on deploying, automating, securing, and optimizing AWS and hybrid cloud infrastructure in a regulated environment.

The ideal candidate will have strong hands-on experience with AWS infrastructure, Terraform/IaC, CI/CD pipelines, scripting, secure cloud operations, monitoring/logging, and compliance-aligned engineering practices.

Responsibilities:

Design, deploy, configure, and maintain AWS and hybrid cloud infrastructure across dev/test/prod environments.

Automate infrastructure provisioning and lifecycle management using Terraform or similar Infrastructure as Code tools.

Build and maintain reusable IaC modules and promote standardization across environments.

Develop and enhance CI/CD pipelines and DevOps workflows using tools such as Git, Jenkins, AWS CodePipeline, Docker, and Terraform.

Troubleshoot infrastructure, automation, deployment, and operational issues to support reliability, performance, and mission continuity.

Implement secure baseline configurations and support cloud hardening efforts aligned to federal compliance standards.

Improve operational visibility through logging, monitoring, alerting, and dashboarding.

Support disaster recovery, business continuity, and operational readiness requirements.

Collaborate with engineering, security, networking, application, and data teams to support delivery timelines and mission needs.

Maintain clear technical documentation, including SOPs, system diagrams, configuration baselines, and operational procedures.

Required Qualifications:

Candidates must be able to work without sponsorship.

Must be able to obtain and maintain a Federal Public Trust clearance. Candidates with an active Public Trust or federal suitability are preferred.

Bachelor’s degree in Engineering, IT, Computer Science, or a related field, or equivalent professional experience.

6+ years of hands-on experience in AWS, cloud infrastructure, DevOps, infrastructure automation, or enterprise IT operations.

Strong hands-on experience with Terraform for AWS infrastructure automation.

Experience building and operating CI/CD pipelines using tools such as Git, Jenkins, AWS CodePipeline, Docker, GitHub, GitLab, or similar.

Strong scripting experience with Python, Bash, or similar scripting languages.

Working knowledge of cybersecurity best practices, secure cloud configurations, zero-trust concepts, and compliance frameworks such as NIST, CIS, or ISO 27000.

Experience with monitoring, logging, and operational support in cloud environments.

Ability to work independently and collaborate across engineering, DevOps, security, networking, and architecture teams.

Preferred Qualifications:

AWS Certified DevOps Engineer – Professional or similar AWS certification.

CompTIA Security+.

Experience with CloudWatch, Splunk, or other monitoring/SIEM tools.

Experience supporting disaster recovery or business continuity solutions.

Experience with AWS data services such as S3, Glue, Athena, Lake Formation, or Databricks.

Prior experience supporting federal, healthcare, HHS, or other regulated environments.

Experience using AI-assisted coding tools such as GitHub Copilot, ChatGPT, Cursor, or similar tools while maintaining strong testing, review, and security practices.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M1 #LI-CS1 Ref: #851-Rockville-S1