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

Humach, LLC

Forward Deployed Engineer

Dallas, TX · Remote

This is a fully remote position open to candidates who currently reside in Iowa, Wisconsin ... Strong backend engineering skills (Python and/or TypeScript). * Experience building APIs, services ...

Humach, LLC

Forward Deployed Engineer

Dallas, TX · On-site +1

This is a fully remote position open to candidates who currently reside in Iowa, Wisconsin ... Strong backend engineering skills (Python and/or TypeScript). * Experience building APIs, services ...

Quora

AI Automation Engineer -Remote

Mckinney, TX · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Quora

AI Automation Engineer -Remote

Dallas, TX · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Quora

AI Automation Engineer -Remote

Arlington, TX · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Build and maintain LLM powered features and services * Develop retrieval augmented generation (RAG ... Strong Python and SQL skills * Handson experience deploying models into production * Familiarity ...

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How much do remote python llm jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote python llm in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 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.
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Remote Python Llm jobs near you
Staff Engineer, AI & Agentic Development

Staff Engineer, AI & Agentic Development

Innovative Information Technologies, Inc

Dallas, TX • On-site, Remote

Other

Posted 9 days ago

Job description

Title; Staff Engineer, AI & Agentic Development

LOCATION(S): #1 Dallas, # 2 NYC and then last resort remote from near Dallas.

IN OFFICE POLICY IF LOCAL TO NY or TX location: If local, 4 days a week onsite. If not local, arrangements for 2-3 days a week in office, or possibly remote for a perfect candidate

Type: Fulltime

REQUIREMENTS:

  • This is not an ML research role—it is a product engineering role for someone who can take large language models, tool-use patterns, and agentic frameworks and ship them as reliable, production-grade features that financial operations teams depend on daily.
  • You will work across the below following stack. Deep expertise in every layer is not required—but you should be comfortable navigating a polyglot codebase and making architectural decisions that span these technologies.

·         8+ years of professional software engineering experience, with significant time spent building production systems at scale.

·         3+ years of hands-on experience building AI/ML-powered product features—not research prototypes, but shipped, production software that real users depend on.

·         Deep experience with LLM integration: prompt engineering, function/tool calling, RAG architectures, agent orchestration, and evaluation frameworks.

·         Strong software engineering fundamentals: system design, API design, data modeling, distributed systems, and production operations.

·         Experience with at least one modern AI/agent framework (LangChain, LlamaIndex, Anthropic tool use, OpenAI Assistants, CrewAI, or similar) and a clear-eyed view of their trade-offs.

·         Proficiency in Python and/or TypeScript. Familiarity with SQL and relational databases.

·         Track record of leading technical initiatives that span multiple teams or systems, with strong written communication (RFCs, design docs, ADRs).

·         Demonstrated ability to work with ambiguity—translating broad product goals into concrete technical plans and shipping iteratively.

PREFERRED QUALIFICATIONS

• Experience building MCP servers or integrations, or deep familiarity with the Model Context Protocol ecosystem.

• Domain experience in FinTech, payments, accounting automation, fund administration, or financial operations.

• Experience with AI-assisted development tools (Claude Code, Cursor, Copilot) and a philosophy for how they change engineering workflows.

• Background in building trust and safety systems for AI: content filtering, output validation, human-in-the-loop patterns, and audit logging for autonomous actions.

• Experience with Azure cloud services, SQL Server, or Azure DevOps.

• Familiarity with financial data formats and integrations: NACHA, ISO 20022, SWIFT, or accounting system APIs (QuickBooks, NetSuite, Sage).

• Prior experience at a Staff/Principal level or as a founding/early engineer at a startup where you shaped technical direction.

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