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Remote Python Llm Jobs in Richmond, TX (NOW HIRING)

NATIONMIND LLC

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 ...

All JobsRemote Python Llm JobsRemote Python Llm Jobs in Richmond, TX

Remote Python Llm information

See Richmond, TX salary details

$10

$47

$70

How much do remote python llm jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote python llm in Richmond, TX is $47.74, according to ZipRecruiter salary data. Most workers in this role earn between $39.33 and $54.23 per hour, depending on experience, location, and employer.

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.

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.
What are popular job titles related to Remote Python Llm jobs in Richmond, TX? For Remote Python Llm jobs in Richmond, TX, the most frequently searched job titles are:
What job categories do people searching Remote Python Llm jobs in Richmond, TX look for? The top searched job categories for Remote Python Llm jobs in Richmond, TX are:
What cities near Richmond, TX are hiring for Remote Python Llm jobs? Cities near Richmond, TX with the most Remote Python Llm job openings:
Remote Python Llm jobs near you

AI Engineer Developer

NATIONMIND LLC

Houston, TX • Remote

$40 - $45/hr

Full-time

Posted 16 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.