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Remote Python Llm Jobs (NOW HIRING)

Remote Key Responsibilities * Develop, maintain, and support AI agents for enterprise automation ... Build, configure, and troubleshoot MCP servers and custom tools for LLM-based applications.

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Chicago, IL (Remote) Employment Type: Full-Time Experience Required: 7-9 Years Visa Type: USC / GC Only Must-Have Skills: * Advanced Python Development * Production-Grade Python Coding * GenAI / LLM ...

Full Stack Python AND AI Location: Remote Duration: FTE We are looking for a Full Stack Python ... Integrate AI/ML models or APIs (e.g., OpenAI, LLM-based services). Work with databases like MySQL ...

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Remote (USA) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications: ✔ ... LLM applications using OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or similar model APIs ✔ ...

LLM Prompt Specialist

$100K - $150K/yr

LLM Prompt Specialist Location: 100% Remote (United States) Position Type: Full-time, Direct W2 ... Strong Python skills and comfort with modern application frameworks. * Solid grasp of responsible ...

Staff Attack Engineer, AI/LLM

  • Medical

  • Dental

  • Vision

  • PTO

Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of ... Expert-level Python and software engineering skills. * Solid penetration testing fundamentals and ...

Applied AI Engineer (Python/AI)

$125K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are a remote-first SaaS company building practical AI-powered solutions that improve real ... Experience working with LLM APIs, generative AI services, or AI-enabled capabilities in ...

Python Engineer, Agentic AI

Washington, DC · On-site +1

$142K - $213K/yr

... the office for the remote option.) Job Summary About the Role We are looking for a motivated ... AI/LLM Interest : Exposure to LLMs or agent frameworks Infrastructure : Familiarity with cloud ...

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Remote Python Llm information

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How much do remote python llm jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote python llm in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

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

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.
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Infographic showing various Remote Python Llm job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

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 7 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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