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Llm Developer Jobs in Allen, TX (NOW HIRING)

Agentic AI Developer

Irving, TX · On-site

$55 - $60/hr

The developer will architect resilient workflows capable of planning, tool use, memory management, and autonomous execution transforming cutting-edge LLM agent research into scalable enterprise ...

Senior AI/ML engineer

Richardson, TX · On-site

$111K - $146K/yr

We are seeking a highly skilled Senior AI/ML Developer to join our Agentic AI Platform Team. In ... Generative AI & LLM Engineering * Develop, fine-tune, and optimize Large Language Models (LLMs) and ...

Agentic AI Developer IV

Richardson, TX · On-site

$159K - $270K/yr

We are seeking an AI Developer IV to help design, build, and scale internal AI solutions that ... Providing technical guidance on LLM, RAG, and agentic workflow design * Supporting proof-of-concept ...

Core LLM engineering: designing agentic systems with frontier models (Claude / GPT) - tool / function calling, agent skills, multi-step orchestration, and memory. Production RAG: embeddings, vector ...

Core LLM engineering: designing agentic systems with frontier models (Claude / GPT) - tool / function calling, agent skills, multi-step orchestration, and memory. * Production RAG: embeddings, vector ...

We are seeking an AI Developer IV to help design, build, and scale internal AI solutions that ... Providing technical guidance on LLM, RAG, and agentic workflow design * Supporting proof-of-concept ...

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 ...

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 ...

Python AI Agent Developer - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

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 ...

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Position Overview We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on ... Support LLM-based, Agentic AI, Retrieval-Augmented Generation (RAG), and AI workflow platforms.

Must-Have Experience: • 15+ years building software, with a proven record of shipping real products 0-to-1 through scale - not just running projects. • Core LLM engineering: designing agentic ...

I need a hands on keyboard engineer designing & writing code, building Agents, Skills, MCP with ... Agentic AI / LLM systems * Python, TypeScript, LangChain * Integration with APIs, databases, and ...

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Python GenAI Engineer Location: Irving TX (Hybrid) Experience: 5+ Years Job Summary We are looking ... The ideal candidate should have strong backend development skills and hands-on experience with LLM ...

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Llm Developer information

See Allen, TX salary details

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$46

$74

How much do llm developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for llm developer in Allen, TX is $46.66, according to ZipRecruiter salary data. Most workers in this role earn between $36.68 and $56.59 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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Infographic showing various Llm Developer job openings in Allen, TX as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $97,058 per year, or $46.7 per hour.

Senior Java Developer GenAI & Microservices - Dallas, TX

Photon

Dallas, TX • On-site

$56.75 - $72.50/hr

Other

Posted 23 days ago


Job description

Senior Java Developer GenAI & Microservices

Job Description

We are looking for an experienced Java Developer with strong expertise in System Design, Microservices, Spring Boot, Kafka, Python, and GenAI Architecture. The ideal candidate will be responsible for designing scalable, high-performance enterprise applications and integrating modern GenAI capabilities into distributed systems.

Key Responsibilities

  • Design and develop scalable, resilient applications using Java, Spring Boot, and Microservices.
  • Own and contribute to high-level and low-level system design, architecture, and technical solutioning.
  • Design event-driven architectures using Apache Kafka for real-time data and asynchronous processing.
  • Develop secure and scalable REST APIs and backend services.
  • Design and implement GenAI/LLM-based architectures, including RAG, AI agents, model integration, and AI-powered enterprise solutions.
  • Work with Python for AI/ML integrations, automation, data processing, and GenAI application development.
  • Integrate LLMs and AI services with existing Java-based enterprise applications and microservices.
  • Evaluate and recommend appropriate technologies, frameworks, design patterns, and architectural approaches.
  • Drive performance, scalability, reliability, security, and observability across distributed systems.
  • Collaborate with product managers, architects, data engineers, ML engineers, and development teams.
  • Provide technical leadership, conduct code/design reviews, and mentor engineering teams.

Required Skills

  • 8+ years of experience in Java/J2EE application development.
  • Strong expertise in Java, Spring Boot, and Microservices Architecture.
  • Strong understanding of System Design, Distributed Systems, Design Patterns, and API Architecture.
  • Hands-on experience with Apache Kafka and event-driven architecture.
  • Strong Python programming experience, particularly for AI/GenAI integrations.
  • Experience designing or implementing GenAI architectures and LLM-based applications.
  • Knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, and AI Agents.
  • Experience integrating LLMs such as OpenAI, Gemini, Claude, Llama, or similar models.
  • Strong understanding of REST APIs, authentication, security, scalability, and performance optimization.
  • Experience with relational and/or NoSQL databases.
  • Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Docker, Kubernetes, CI/CD, and modern DevOps practices is preferred.

Preferred Skills

  • LangChain, LangGraph, LlamaIndex, or similar GenAI frameworks.
  • Vector databases such as Pinecone, Weaviate, Milvus, pgvector, or similar.
  • Experience building Agentic AI / Multi-Agent Systems.
  • Knowledge of AI/ML concepts and model deployment.
  • Experience with observability tools and distributed tracing.
  • Strong communication, problem-solving, and technical leadership skills.

Ideal Candidate

A strong candidate will be a Java/Spring Boot expert who also understands modern GenAI architecture, with the ability to bridge traditional enterprise microservices and emerging AI/LLM technologies.

Keywords: Java | Spring Boot | Microservices | System Design | Kafka | Python | GenAI | LLM | RAG | AI Agents | REST API | Cloud | Kubernetes