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Python Llm Jobs in Dallas, TX (NOW HIRING)

Photon

Python developer - Dallas, Tx

Dallas, TX

$49.75 - $68.50/hr

LLM Integration: Develop integrations with LLM providers such as OpenAI, Gemini, Anthropic, and ... Create Python-based tools and connectors that enable agents to interact with APIs, databases ...

Photon

Python developer - Dallas, Tx

Dallas, TX · On-site

$49.75 - $68.50/hr

LLM Integration: Develop integrations with LLM providers such as OpenAI, Gemini, Anthropic, and ... Create Python-based tools and connectors that enable agents to interact with APIs, databases ...

ClinDCast

Python Full Stack Developer

Addison, TX · On-site

Hiring: Python Full Stack Developer Dallas, TX (Onsite) W2 Only We are looking for a highly experienced Python Full Stack Developer with strong expertise in backend, cloud, and AI/LLM-based ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... LLM Integration: Integrate and optimize LLM-powered capabilities using platforms such as OpenAI ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... LLM Integration: Integrate and optimize LLM-powered capabilities using platforms such as OpenAI ...

dhanutek

Gen AI with Python

Dallas, TX · Hybrid

$49.75 - $68.50/hr

GenAI Engineer / GenAI Developer - Python Location: Dallas, TX (Hybrid) Employment Type: W2 Only ... Experience with LLM platforms such as OpenAI, AWS Bedrock, or Google Gemini. * Experience with ...

Kaav Inc

Python Engineer-W2

Plano, TX · On-site

Python Engineer- USC/GC/ GC EAD/ H4 EAD- W2 Location: Charlotte NC/Plano TX - Look for local ... Integrate AI tools (including ChatGPT and other LLM-based solutions) into automation workflows for ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX

$49.75 - $68.50/hr

Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration ... Strong proficiency in Python (3.x) for ML and software development., with focus on OOP and modular ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Our team is looking for a skilled Python Developer for ML with deep expertise in framework design ... LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK). • Ensure security ...

Marencor

Data Scientist with Python

Dallas, TX · On-site

Data Scientist with Python Location: Dallas, TX below. Data Science Skills * Deploy and maintain ... Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as ...

InterSources Inc

Gen AI Engineer

Irving, TX · On-site

... python • Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for 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 Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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Python developer - Dallas, Tx

Photon

Dallas, TX

$49.75 - $68.50/hr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

The Senior Python Developer will play a key role in designing, developing, and scaling our Agentic AI platform. This role requires deep expertise in Python development, AI-driven application architectures, and cloud-native technologies to build robust, scalable, and production-ready agentic solutions.

You will be responsible for developing backend services, implementing agent orchestration workflows, integrating LLMs and external tools, and building resilient platforms that support enterprise AI use cases.

Key Responsibilities:

Backend Development: Design, develop, and maintain scalable backend services and APIs using Python and modern development frameworks.

Agentic AI Development: Build and support agent orchestration workflows that enable autonomous decision-making, task execution, and multi-step reasoning.

LLM Integration: Develop integrations with LLM providers such as OpenAI, Gemini, Anthropic, and open-source models to power AI-driven applications.

RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and enterprise knowledge sources.

Platform Engineering: Develop resilient, high-performance platform services that support secure and scalable AI deployments.

Tool Integration: Create Python-based tools and connectors that enable agents to interact with APIs, databases, enterprise applications, and external services.

Testing & Evaluation: Implement automated testing, evaluation frameworks, and quality controls to ensure reliability and consistency of AI systems.

Performance Optimization: Optimize application performance, latency, scalability, and infrastructure utilization across AI workloads.

Required Skills & Qualifications:

  • 10+ years of experience in software engineering with strong expertise in Python development.
  • Strong experience developing REST APIs, microservices architectures, and event-driven systems.
  • Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Agent Development Kit (ADK).
  • Experience building and supporting RAG-based applications and enterprise AI solutions.
  • Strong knowledge of LangChain, LlamaIndex, LangSmith, and LangFlow.
  • Experience working with LLMs including OpenAI, Gemini, Anthropic, Llama, or similar models.
  • Deep understanding of prompt engineering, function calling, tool integration, agent orchestration, and evaluation techniques.
  • Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
  • Strong proficiency in PostgreSQL, MySQL, MongoDB, Redis, and database optimization techniques.
  • Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native application development.
  • Familiarity with Docker, Kubernetes, and containerized deployment patterns.
  • Experience implementing CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI.
  • Experience with monitoring, logging, and observability tools for production systems.

Compensation, Benefits and Duration

Minimum Compensation: USD 39,000
Maximum Compensation: USD 137,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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