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Python Llm Jobs in Texas (NOW HIRING)

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 ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$95K - $105K/yr

Working experience in Data Processing, AI enabled workflows using python * Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid prompting technique

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$90K - $100K/yr

Working experience in Data Processing, AI enabled workflows using python * Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid prompting technique

Genesis10

AI/ML Engineer - Hybrid

Plano, TX · Hybrid

$63.68 - $71.68/hr

Proven experience deploying LLM-powered production systems * Strong experience with Python ML/AI frameworks such as PyTorch, TensorFlow, and Scikit-learn * Hands-on experience with vector databases ...

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis ... Python, Hugging Face, Langchain, RAG, AWS * PowerPoint presentation skills

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Python Llm information

What is a Python LLM job?

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.

What are the most commonly searched types of Python Llm jobs in Texas? The most popular types of Python Llm jobs in Texas are:
What are popular job titles related to Python Llm jobs in Texas? For Python Llm jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Texas look for? The top searched job categories for Python Llm jobs in Texas are:
What cities in Texas are hiring for Python Llm jobs? Cities in Texas with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Texas as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Python Developer with ML - Dallas, TX

Python Developer with ML - Dallas, TX

Photon

Dallas, TX • On-site

$49.75 - $68.50/hr

Full-time

Posted 15 days ago

Job description

Job Description
We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.
Key Responsibilities:
• Design, develop, and maintain Python frameworks that provide reusable components and structure for applications.
• Build, train, and deploy robust machine learning and deep learning models using Python and popular frameworks (e.g., PyTorch, TensorFlow).
• Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.
• Implement best practices in software engineering: OOP, design patterns, modular architecture.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and indexing data from various sources (e.g., PDFs, HTML, databases).
• Develop APIs and SDKs for framework adoption across teams.
• Utilize vector databases (e.g., Pinecone, Weaviate) for efficient storage and retrieval of high-dimensional vector embeddings to support RAG and semantic search functionalities.
• Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).
• Ensure security, reliability, and observability of framework components.
• Write unit/integration tests and maintain CI/CD pipelines.
• Document frameworks, APIs, and libraries for developer adoption.
• Participate in code reviews, mentor junior developers, and contribute to technical design discussions.
Required Skills & Experience:
• Strong proficiency in Python (3.x) for ML and software development., with focus on OOP and modular design.
• Proven experience in building frameworks, libraries, or SDKs (not just applications).
• Advanced proficiency in Python for ML and software development.
• Expertise in design patterns, dependency injection, and plugin-based architectures.
• Solid understanding of ML algorithms, model evaluation techniques, and MLOps practices.
• Experience developing with Large Language Models (LLMs) and advanced Prompt Engineering techniques.
• Experience with FastAPI, Flask, Django or similar web frameworks.
• Solid understanding of APIs (REST, GraphQL) and API gateway integration.
• Knowledge of async programming (asyncio, aiohttp).
• Hands-on experience building and deploying Retrieval-Augmented Generation (RAG) systems.
• Proficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.
• Strong grasp of security practices (OAuth2, JWT, IAM integration).
• Familiarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.
• Familiarity with vector databases for efficient similarity search
Nice to Have:
• Experience with Agentic AI frameworks (OpenAI SDK, LangChain, LlamaIndex, Google ADK, AutoGen).
• Knowledge of LLM fine-tuning, prompt engineering, and guardrails.
• Exposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).
• Experience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).
• Contributions to open-source Python frameworks or libraries.
Ideal Candidate:
• A framework builder mindset - you enjoy designing systems other developers will use.
• Passionate about AI and automation, eager to experiment with agent-driven architectures.
• A problem-solver with a strong understanding of scalable and secure design principles.
• Excellent communicator with strong documentation and collaboration skills.
Qualifications
• Bachelor's/Master's degree in Computer Science, Engineering, or related field.
• Strong track record of building scalable frameworks or platforms in production environments.

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