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Llm Engineer Remote Jobs in Georgia (NOW HIRING)

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

AGS LLC

DevOps Platform Engineer

Atlanta, GA · On-site +1

$50.75 - $69.50/hr

Provision and manage the agentic AI platform infrastructure -- LLM API gateway, vector database ... Experience with remote device management for distributed hardware fleets Note: All offers are ...

AGS LLC

DevOps Platform Engineer

Duluth, GA · On-site +1

$48.50 - $66.50/hr

Provision and manage the agentic AI platform infrastructure -- LLM API gateway, vector database ... Experience with remote device management for distributed hardware fleets Note: All offers are ...

AGS LLC

DevOps Platform Engineer

Duluth, GA · On-site +1

$48.50 - $66.50/hr

Provision and manage the agentic AI platform infrastructure -- LLM API gateway, vector database ... Experience with remote device management for distributed hardware fleets Note: All offers are ...

AGS LLC

DevOps Platform Engineer

Atlanta, GA · On-site +1

$50.75 - $69.50/hr

Provision and manage the agentic AI platform infrastructure -- LLM API gateway, vector database ... Experience with remote device management for distributed hardware fleets Note: All offers are ...

Kobie Marketing

AI Engineer

Atlanta, GA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

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Llm Engineer Remote information

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are some typical challenges faced by remote LLM Engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What are the key skills and qualifications needed to thrive as an LLM Engineer in a remote role, and why are they important?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What is an LLM Engineer (Remote)?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.
What are the most commonly searched types of Llm Engineer jobs in Georgia? The most popular types of Llm Engineer jobs in Georgia are:
What are popular job titles related to Llm Engineer Remote jobs in Georgia? For Llm Engineer Remote jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Llm Engineer Remote jobs in Georgia look for? The top searched job categories for Llm Engineer Remote jobs in Georgia are:
What cities in Georgia are hiring for Llm Engineer Remote jobs? Cities in Georgia with the most Llm Engineer Remote job openings:
Llm Engineer Remote jobs near you
Infographic showing various Llm Engineer Remote job openings in Georgia as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Senior Full Stack Software Engineer (Remote Opportunity)

Senior Full Stack Software Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

We are currently looking for a Senior Full Stack Software Engineer for a 100% remote position on a large federal government project. In this role, you will support the design, development, and delivery of secure, scalable, and mission-critical healthcare applications that support federal modernization initiatives. You will work within a collaborative Agile environment alongside software engineers, architects, business analysts, QA engineers, DevOps professionals, and product teams while leveraging modern technologies including Java, Spring Boot, Node.js/TypeScript, React, AWS, and AI-enabled solutions.

The candidate must reside within the continental US.

Responsibilities
  • Design, develop, and maintain scalable full-stack applications using Java, Java EE, Java 17, Spring Boot, Node.js/TypeScript, and React or Angular.
  • Architect and implement secure, cloud-native, event-driven microservices and RESTful APIs utilizing AWS services including Aurora PostgreSQL, ECS, SQS, and S3.
  • Develop AI-enabled solutions by integrating Large Language Models (LLMs) and AI APIs into enterprise healthcare applications while evaluating emerging AI technologies and best practices.
  • Build reliable backend services, optimize database performance, and ensure application scalability, security, and maintainability through sound engineering principles.
  • Implement automated testing, CI/CD pipelines, containerization, and DevOps best practices to deliver high-quality software in a regulated environment.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions while supporting Agile development processes and maintaining technical documentation.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Requirements
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
  • Minimum of six (10) years of professional software engineering experience.
  • Proven experience as a Full Stack Software Engineer with technical leadership responsibilities.
  • Experience designing and developing distributed, cloud-native applications using modern software architecture principles.
  • Experience integrating AI or Large Language Model (LLM) capabilities into enterprise applications.
  • Experience working within Agile software development environments.
  • Strong proficiency with Java, Java EE, Java 17, and Spring Framework.
  • Experience developing applications using Node.js, TypeScript, React, or Angular.
  • Experience building RESTful APIs, microservices, and distributed systems.
  • Hands-on experience with AWS cloud services, including Aurora PostgreSQL, ECS, SQS, and S3.
  • Experience with SQL, PostgreSQL, automated testing, CI/CD pipelines, Docker, and Kubernetes.
  • Knowledge of secure software development practices and modern DevOps methodologies.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong verbal and written communication skills.
  • Ability to mentor software engineers and provide technical leadership.
  • Ability to collaborate effectively with cross-functional teams in a remote environment.
  • Strong organizational skills with exceptional attention to detail.
Additional Qualifications
  • Experience supporting Department of Veterans Affairs (VA) programs or other federal government agencies.
  • Familiarity with healthcare interoperability standards such as FHIR and HL7.
  • Experience working within regulated healthcare environments.
  • Experience with intelligent automation, AI orchestration frameworks, or agent-based systems.
  • Professional certifications in AWS, Java, Agile, or related technologies are preferred.
  • Ability to obtain a U.S. Government Public Trust or other required security clearance.
Benefits
  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) plus Federal Holidays.
  • Corporate Laptop.
  • Training and Professional Development Opportunities.
  • 100% Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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