2

Remote Python Llm Jobs (NOW HIRING)

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... Strong backend development experience in Python, TypeScript, Node.js, Java, Go, or similar backend ...

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

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.

Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ... Experience with modern programming languages such as Java, Python, or similar backend technologies.

Staff Software Engineer, Applied AI

OR · Remote

$200K - $240K/yr

Strong full-stack web application experience in Python. * Has shipped reliable agentic LLM ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Design, build, and maintain LLM-powered AI components supporting internal tools and user-facing ... Strong Python programming skills with experience in data manipulation libraries such as NumPy and ...

next page

Showing results 1-20

Remote Python Llm information

See salary details

$13

$58

$86

How much do remote python llm jobs pay per hour?

As of Jul 9, 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 remote jobs can you get with Python?

Remote Python jobs include roles such as software developer, data analyst, machine learning engineer, and automation engineer. These positions often require proficiency in Python programming, familiarity with frameworks like Django or Flask, and experience with cloud platforms or version control tools. Many of these jobs offer flexible schedules and can be performed from any location with internet access.

Will AI replace Python devs?

Remote Python developers are unlikely to be fully replaced by AI, as their role involves complex problem-solving, coding, and adapting to new requirements that AI tools currently cannot fully replicate. AI can assist by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for software development. Staying updated with new tools and skills can help Python developers remain valuable in an evolving tech environment.

What is a Remote Python LLM job?

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 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.

Is Python used in LLM?

Yes, Python is widely used in developing large language models (LLMs) and is a key skill for remote Python LLM roles. It provides extensive libraries and frameworks such as TensorFlow and PyTorch that facilitate model training, fine-tuning, and deployment.

What are the key skills and qualifications needed to thrive as a Remote Python LLM Engineer, and why are they important?

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.

Which LLM is good for Python coding?

For a Remote Python Llm role, models like OpenAI's GPT-4 and GPT-3.4 are widely used for Python coding due to their strong language understanding and code generation capabilities. Additionally, open-source models such as Meta's Llama 2 and EleutherAI's GPT-NeoX can be fine-tuned for specific coding tasks, making them suitable options for development environments requiring customization. Proficiency in integrating these models with APIs and understanding their limitations is essential for effective Python coding assistance.
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 July 2026, with employment types broken down into 1% Locum Tenens, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

AI Engineer Developer

NATIONMIND LLC

Houston, TX • Remote

$40 - $45/hr

Full-time

Posted 27 days ago


Job description

About NationMind LLC:
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Engineer Developer to join our growing team.
Role: AI Engineer Developer
Location: Houston TX or US Remote
Duration: 6-12 months
Skills: AI and Automation~AI Agents
Experience Required: 6-8 Years
Role Descriptions:
Strong backend development experience in Python, TypeScript, Node.js, Java, Go, or similar backend technologies.
Experience building APIs, workflow services, integrations, automation scripts, and event-driven applications.
Strong API integration skills including REST, GraphQL, webhooks, authentication, authorization, and scheduled automation jobs.
Hands-on experience with Slack apps, Slack bots, Slack APIs, or enterprise collaboration platform integrations.
Experience integrating with ticketing and workflow tools such as Jira, Zendesk, ServiceNow, Confluence, or similar systems.
Experience with orchestration frameworks, workflow engines, agent runtimes, or stateful task execution.
Hands-on experience building GenAI applications, AI agents, RAG workflows, tool-calling systems, or chatbot platforms.
Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar technologies.
Understanding of MCP concepts, tool registries, connector libraries, skill version management, and secure tool invocation.
Experience with prompt engineering, prompt versioning, structured outputs, function calling, JSON schemas, and agent guardrails.
Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC, service accounts, secrets management, and enterprise governance requirements.
Ability to build secure, auditable, and reliable operational tooling for enterprise users.
Familiarity with logging, monitoring, tracing, metrics, dashboards, retries, error handling, operational observability, and incident troubleshooting.
Good knowledge of automated testing, CI/CD pipelines, deployment practices, release management, rollback strategies, and operational support processes.
Strong understanding of secure coding practices, data privacy, access controls, and enterprise governance standards.
Key Technical Skills:
Python, TypeScript, Node.js, Java, Go
AI Agents & GenAI Applications
RAG (Retrieval-Augmented Generation)
LLM APIs (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI)
REST, GraphQL, Webhooks
Workflow Orchestration & Agent Runtimes
MCP (Model Context Protocol)
Function Calling & Structured Outputs
Prompt Engineering
Slack Apps/Bots Integration
Jira, Zendesk, ServiceNow, Confluence
IAM (Okta, SSO, RBAC, ABAC)
CI/CD, DevOps, Observability
Difference from the AI Architect Lead Role
AI Architect Lead (10+ years): Architecture, governance, platform strategy, leadership, enterprise AI solution design.
AI Engineer Developer (68 years): Hands-on development, integrations, AI agent implementation, workflow automation, and GenAI application development.

This is a remote position.