2

Remote Python Llm Jobs (NOW HIRING)

Senior Python Engineer

$200K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ML and LLM capabilities are seamlessly integrated into product experiences with strong performance ... Fully remote work within the United States * Periodic company offsites and team gatherings Wizard ...

Senior Python Engineer

$200K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ML and LLM capabilities are seamlessly integrated into product experiences with strong performance ... Fully remote work within the United States * Periodic company offsites and team gatherings Wizard ...

Senior AI/LLM Engineer

$179K - $201K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This position is remote within the United States or Canada. Role Summary: Censys is seeking a ... Strong proficiency in Python for backend and API services development * Familiarity with RAG ...

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation ...

Senior Software Engineer - LLM Trainer

$125K - $165K/yr

... Python, JavaScript/TypeScript, Go, Java, C++, or SQL • Hands-on experience with Terminal-Bench ... a remote, asynchronous, fast-paced environment • High attention to detail and the ability to ...

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Is comfortable scripting basic tests (Python, Bash, or similar) and working in Jupyter or prompt ... Fully remote (U.S.-based) with flexible hours. * Comprehensive health, dental, and vision.

Senior AI/LLM Engineer

$179K - $201K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

This position is remote within the United States or Canada. Role Summary: Censys is seeking a ... Strong proficiency in Python for backend and API services development * Familiarity with RAG ...

Senior AI Engineer (Remote)

Sarasota, FL · Remote

$125K - $165K/yr

Senior AI Engineer Remote US only Full-time Are you passionate about building AI products people ... Python * Experience with LLM gateways or serving infrastructure (LiteLLM, vLLM, TGI, or similar)

Senior Applied AI Engineer (Enterprise AI / Python)

$160K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are a remote-first SaaS company building practical AI-powered solutions that improve real ... Develop solutions for evaluating and improving LLM output quality * Build frameworks and tooling ...

Showing results 41-60

Remote Python Llm information

See salary details

$13

$58

$86

How much do remote python llm jobs pay per hour?

As of Aug 19, 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.
More about Remote Python Llm jobs

What cities are hiring for Remote Python Llm jobs?

Cities with the most Remote Python Llm job openings:

What are the most commonly searched types of Python Llm jobs?

The most popular types of Python Llm jobs are:

What states have the most Remote Python Llm jobs?

States with the most job openings for Remote Python Llm jobs include:

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.

$200K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

The Role
We're looking for a Senior Software Engineer to build and scale the backend systems that power our AI agent. This role sits at the intersection of backend engineering, machine learning, and product, and is focused on turning AI capabilities into reliable, production-ready systems.
You won't be training models, but you will make them work in the real world. You'll build APIs, services, and data systems that connect LLMs and ML models to user-facing experiences, ensuring performance, reliability, and scalability.
What You'll Do
  • Design and build APIs and backend services that power AI-driven product experiences
  • Develop systems that integrate LLMs and ML models into production workflows
  • Build and maintain data pipelines supporting training, inference, and evaluation
  • Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features
  • Improve system performance, reliability, and scalability across services
  • Contribute to experimentation and feedback loops that improve model and product performance
  • Debug complex production issues and drive root cause resolution
  • Raise the bar on code quality, system design, and engineering standards
What Success Looks Like
  • AI-powered features are reliably delivered through scalable, well-architected backend systems
  • ML and LLM capabilities are seamlessly integrated into product experiences with strong performance and uptime
  • Clear, maintainable APIs and services enable fast iteration across engineering and product teams
  • Systems are designed with strong observability, enabling rapid debugging and improvement
  • Engineering decisions consistently balance speed, quality, and long-term scalability
Ideal Background
  • 5+ years of experience in software engineering, with strong backend focus
  • Strong proficiency in Python and experience building production-grade systems
  • Experience designing APIs and service-oriented architectures
  • Experience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar)
  • Familiarity with databases (SQL and/or NoSQL) and data-intensive systems
  • Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure
  • Exposure to containerization and orchestration (Docker, Kubernetes)
  • Ability to operate in ambiguity and take ownership of loosely defined problems
  • Strong product mindset with focus on real user outcomes
  • Clear communication and ability to collaborate across engineering, ML, and product
Compensation & Benefits
The expected base salary range for this role is $200,000-$225,000 USD and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.
In addition to base salary, Wizard offers:
  • Equity in the form of stock options
  • Medical, dental, and vision coverage
  • 401(k) plan
  • Flexible PTO and company holidays
  • Fully remote work within the United States
  • Periodic company offsites and team gatherings

Wizard is committed to fair, transparent, and competitive compensation practices.