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Llm Engineer Remote Jobs in Georgia (NOW HIRING)

GPU Programmer - Remote

Atlanta, GA ยท Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

Senior Agentic (AI) Engineer

Atlanta, GA ยท 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 ...

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Lead the design, development, and deployment of complex AI solutions, including LLM-based ...

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... LLM-driven analytics, natural language querying, and agent-based workflows * Build and evolve ...

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... LLM-driven analytics, natural language querying, and agent-based workflows * Build and evolve ...

Requirements Required: 2-3+ years of hands-on experience building with AI/LLM systems in production ... Must be authorized to work in the United States; role is US-remote. Nice to Have Experience with ...

New

Senior Backend Engineer (AI Agent)

Atlanta, GA ยท On-site +1

$116K - $195K/yr

Experience with LLM evaluation: building datasets, defining scorers/metrics, and using eval results ... REMOTE #LI-GC1 (Pay Transparency Range:$116,000.00 - $195,000.00) Compensation Transparency The ...

Sr. Software Engineer - Accounting

GA ยท On-site +1

$117K - $155K/yr

... an LLM backed workflow system - Realm Flows. These and other features enable us to provide ... We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA.

Lead Data Engineer 2026- US

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... LLM-driven analytics, natural language querying, and agent-based workflows * Build and evolve ...

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Palantir Data Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Remote Work: Yes Job Number: R0245959 Location: Atlanta,GA,US Share job via: Share Palantir Data ... Experience leveraging Palantir Artificial Intelligence Platform (AIP) for large language model (LLM ...

Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini ... In-office, hybrid, or remote flexibility * Medical healthcare * Recognition program * Ongoing ...

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Llm Engineer Remote information

What is an LLM engineer?

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 key skills and qualifications needed to thrive as an LLM engineer in a remote role?

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 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 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 the most commonly searched types of Llm Engineer jobs in Georgia?

The most popular types of Llm Engineer jobs in Georgia 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:

Infographic showing various Llm Engineer Remote job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 8% Contract, and 3% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

GPU Programmer - Remote

YO AI Labs

Atlanta, GA โ€ข Remote

$60 - $85/hr

Full-time

Posted yesterday

New


Job description

GPU Programmer - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities
  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications
  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan