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Remote Llm Ai Jobs (NOW HIRING)

CrowdStrike

This role requires significant hands-on experience in LLM integration, agentic workflows, and agent ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

Horizon3.ai

Staff Attack Engineer, AI/LLM

Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of ... Essential Functions Attacking AI/LLM Systems * Break AI and agentic systems and translate that ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What You will do: AI / LLM Engineering & Agentic Systems * Design, build, and deploy LLM powered ...

Digital Links Inc

AI LLM (W2)

Glen Allen, VA · Remote

Remote Work Requirements AI LLM GC/USC Work must be performed from a secure, fixed location with reliable high-speed internet within the contiguous United States. Interview Process Our process is ...

Near AI

LLM Inference Engineer

San Francisco, CA · On-site +1

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... We are specifically seeking an expert in high-performance LLM serving systems and inference ...

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Remote Llm Ai information

What is a remote LLM AI job?

Remote LLM AI jobs refer to positions that involve working with large language models (LLMs) and artificial intelligence technologies from a remote location. These roles may include tasks such as developing, fine-tuning, or deploying AI models, building applications that leverage LLMs, or conducting research in natural language processing. Professionals in these roles typically have backgrounds in computer science, machine learning, or AI, and use programming languages like Python. Remote LLM AI jobs offer flexibility, allowing individuals to contribute to cutting-edge AI projects from anywhere in the world.

What are common challenges faced by professionals working in remote LLM AI roles?

Professionals in remote LLM AI roles often encounter challenges related to asynchronous communication and collaboration, as coordinating across different time zones and teams can be complex. Additionally, they may need to navigate large-scale data management, stay updated with rapid advancements in the field, and ensure robust model performance while working independently. Building efficient workflows and maintaining strong connections with cross-functional teams, such as data engineers and product managers, are essential for success. Proactively seeking feedback and participating in virtual knowledge-sharing sessions can help mitigate these challenges.

What are the key skills and qualifications needed to thrive as a remote LLM AI engineer?

To thrive as a Remote LLM AI Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Experience with deep learning frameworks (like PyTorch or TensorFlow), cloud platforms (such as AWS or Azure), and familiarity with large language models (LLMs) are crucial technical qualifications. Exceptional problem-solving, self-motivation, and clear communication skills are essential for collaborating across remote teams and tackling complex challenges. These skills enable effective development, deployment, and maintenance of advanced AI systems while ensuring collaboration in a distributed work environment.

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

AspectRemote Llm AiData Scientist
Required CredentialsAI/ML certifications, programming skillsStatistics, programming, data analysis degrees
Work EnvironmentRemote, collaborative AI teamsRemote or on-site data analysis teams
Industry UsageAI development, NLP, machine learning projectsData analysis, predictive modeling, business insights

Remote Llm Ai professionals focus on developing and fine-tuning large language models using AI-specific skills, while Data Scientists analyze data to generate insights. Both roles often work remotely and require programming knowledge, but their core functions differ: AI model development versus data analysis.

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Remote Llm Ai jobs near you
Infographic showing various Remote Llm Ai job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 26 days ago

Job description

Company Description
Job Description
LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home
As an LLM Application Engineer, you will build the intelligence layer that powers the AI experiences. You will work at the intersection of Large Language Models (LLMs), software engineering, and product designing agent workflows, improving model behavior, and turning Artificial Intelligence (AI) capabilities into reliable user experiences. You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production. This position is 100% Remote.
LLM Application Engineer Responsibilities:
- Build and ship LLM-powered applications and AI agent workflows.
- Design systems for reasoning, planning, memory, tool use and multi-step execution.
- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.
- Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools.
- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.
- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.
- Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.
- Optimize AI systems for quality, latency, and cost.
- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.
- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.
LLM Application Engineer Outcomes:
- Artificial Intelligence (AI) features reach production quickly and deliver measurable user impact.
- LLM-powered workflows are reliable, scalable, observable, and maintainable.
- Artificial Intelligence (AI) quality improves through systematic evaluation, experimentation, and iteration.
- Artificial Intelligence (AI) workflows become increasingly predictable, efficient, and cost-effective.
- Complex AI capabilities are translated into simple, intuitive user experiences.
Qualifications
LLM Application Engineer Qualifications:
- Artificial Intelligence (AI) experience required.
- Strong software engineering fundamentals with experience building AI-powered applications.
- Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems.
- Experience designing prompts, workflows, evaluations, or AI behavior.
- Ability to write clean, production-quality code.
- Comfortable working across abstraction layers from model to system to product.
- Strong problem-solving skills in ambiguous, fast-moving environments.
- Bias toward shipping, iteration, and continuous improvement.
- Tech Stack: Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Agent Frameworks, AI, Artificial Intelligence, AI Agent Workflows, APIs, Application Engineer, Backend, Databases, Distributed Systems, JAX, LLM, Large Language Model, LLM APIs, OpenAI-Compatible APIs, Orchestration Systems, Python, PyTorch, UX, User Experience, Vector Databases, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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Additional Information
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