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Senior Llm Developer Jobs in Texas (NOW HIRING)

Koch Industries

Senior LLM Engineer

Austin, TX · On-site

$195K - $255K/yr

Your Job The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry to power generative AI capabilities within our engineering design platform, translating natural ...

Autonomize Inc

ML/LLM Engineer - Applied AI

Austin, TX · On-site

The Opportunity We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world ... This is a mid to senior-level role for someone who's ready to go deep on applied ML problems - from ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$180 - $260/hr

... senior voice ... Agentic AI & LLM Engineering * Design and build agentic AI systems and multi‑agent frameworks ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

... senior voice ... Agentic AI & LLM Engineering * Design and build agentic AI systems and multi-agent frameworks that ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

... senior voice ... Agentic AI & LLM Engineering * Design and build agentic AI systems and multi-agent frameworks that ...

Info Dinamica Inc

Sr LangGraph Developer - Only W2

Dallas, TX · On-site

$54.25 - $71.50/hr

Job Title: Sr LangGraph Developer Onsite in Dallas, TX W2 Position Job Summary: We are looking for ... Deep understanding of LLM orchestration , memory management, and stateful agent design. Experience ...

TekCommands Inc

Sr GenAI + LangGraph Developer

Dallas, TX · On-site

$54 - $71.25/hr

... Engineering, LLM, Agentic AI, Agentic System Design, LangChain, LangGraph, Monitoring , CI/CD ... We are looking for a highly experienced and technically elite Senior LangGraph Developer to ...

Photon

Senior Java Developer - AI/ML

Dallas, TX · On-site

$119K - $155K/yr

Senior Java Developer AI/LLM Solutions Location: Dallas, TX (Onsite) About the Role We are seeking an experienced Senior Java Backend Developer with hands-on expertise in building scalable backend ...

Compunnel

Senior AI Engineer Agentic Systems

Plano, TX · On-site

$100K - $137K/yr

The ideal candidate will have proven experience shipping LLM-based agentic systems to production ... DevOps, and CI/CD practices. Preferred Qualifications • Hands-on experience with agent-builder ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Generative AI Engineer (Azure / RAG / LLM) We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge ... Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.

Prodapt

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 ...

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Senior Llm Developer information

What is a senior LLM developer?

Senior LLM Developers are experienced software engineers who specialize in building, fine-tuning, and deploying large language models (LLMs) such as GPT, BERT, or similar AI models. They work on advanced natural language processing (NLP) tasks, optimize model performance, and often lead teams in developing AI-driven applications. Their responsibilities include data pipeline development, model training, performance evaluation, and integrating LLMs into products. They are proficient in programming languages like Python, familiar with machine learning frameworks, and stay updated with the latest research in AI and NLP.

What are the key skills and qualifications needed to thrive as a senior LLM developer?

To thrive as a Senior LLM Developer, you need deep expertise in natural language processing, machine learning, and advanced programming skills, typically supported by a relevant degree and experience with large language models. Proficiency with frameworks like PyTorch or TensorFlow, cloud platforms (AWS, GCP, Azure), and version control systems, as well as familiarity with model fine-tuning and deployment, are essential. Strong problem-solving, communication, and collaboration skills help in leading teams and translating complex requirements into innovative solutions. These skills are crucial for building, optimizing, and maintaining robust language models that meet organizational objectives and stay ahead in a rapidly evolving field.

What are some common challenges senior LLM developers face when deploying large language models in production environments?

Senior LLM Developers often encounter challenges such as optimizing model performance for latency and scalability while maintaining accuracy. Managing resource-intensive inference and ensuring robust monitoring to detect issues like model drift or biased outputs are also key concerns. Additionally, integrating LLMs with existing systems and coordinating with cross-functional teams, such as MLOps engineers and product managers, is essential for successful deployment. Staying updated with rapidly evolving frameworks and compliance requirements adds to the complexity of the role.

What is the difference between Senior Llm Developer vs Machine Learning Engineer?

AspectSenior Llm DeveloperMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or related fields; experience with ML frameworks
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLPTech companies, startups, industries applying ML solutions
Industry UsagePrimarily in NLP, AI research, and language model developmentBroader across AI applications, including vision, speech, and data analysis

While both roles require strong AI and ML knowledge, Senior Llm Developers specialize in language models and NLP, whereas Machine Learning Engineers work across various AI domains. The roles often overlap but differ in focus and application areas.

What are the most commonly searched types of Llm Developer jobs in Texas?

The most popular types of Llm Developer jobs in Texas are:

What are popular job titles related to Senior Llm Developer jobs in Texas?

For Senior Llm Developer jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Senior Llm Developer jobs in Texas are:

What cities in Texas are hiring for Senior Llm Developer jobs?

Cities in Texas with the most Senior Llm Developer job openings:

Senior Llm Developer jobs near you

Senior LLM Engineer

Austin, TX • On-site

Koch Industries
Oil and Gas Extraction • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

136th of 544 rated manufacturers

People enjoy working here

Good employer

Paid breaks

Learn more about Koch Industriesexternal

$195K - $255K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Your Job
The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry to power generative AI capabilities within our engineering design platform, translating natural-language design intent into structured, engineering-valid outputs.
Our Team
Established in 1938, Molex delivers comprehensive electronic solutions for various markets, including data communications, telecommunications, consumer electronics, industrial, automotive, commercial vehicle, aerospace and defense, medical, and lighting. You'll join the platform team behind our Azure AI/ML engineering tools, working alongside ML engineers, data scientists, and MLOps teams to keep training and inference workloads reliable, secure, and cost-efficient.
What You Will Do
  • Fine-tune foundation models (LoRA/QLoRA, RLHF/DPO, instruction tuning) for domain-specific tasks and terminology.
  • Build agentic and tool-use workflows that connect the LLM to internal engineering tools and data sources.
  • Design evaluation harnesses for factuality and accuracy; own hallucination and safety guardrails.
  • Build RAG pipelines (Azure AI Search) and structured tool-use/function-calling systems on top of fine-tuned Azure OpenAI models.
  • Deploy and optimize inference (quantization, KV-cache, vLLM/TensorRT-LLM) on Azure Kubernetes Service for cost-efficient serving.

Who You Are (Basic Qualifications)
  • 8+ years overall ML/AI engineering experience, with deep hands-on LLM/foundation model work - not just calling APIs.
  • Demonstrated experience fine-tuning models (LoRA/QLoRA/PEFT, full fine-tuning, or pretraining at some scale).
  • Practical experience with alignment techniques (RLHF, RLAIF, DPO, or instruction tuning).
  • Strong Python and deep PyTorch proficiency; solid grasp of transformer architecture internals.
  • Hands-on experience building RAG pipelines, embeddings/vector search, and agentic or tool-use LLM systems.
  • Familiarity with Azure OpenAI / Azure AI Foundry or an equivalent cloud LLM platform.

What Will Put You Ahead
  • Direct experience with Azure OpenAI Service and Azure AI Foundry for enterprise-scale deployment.
  • Experience orchestrating LLM-driven code or structured-output generation for technical/engineering domains.
  • Distributed training experience across multi-GPU/multi-node clusters (DeepSpeed, FSDP).
  • Publications, blog posts, or open-source contributions in generative AI.

For this role, we anticipate paying $195,000- $255,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications. The thousands of innovators who work for Molex have made us a global electronics leader. Our experienced people, groundbreaking products and leading-edge technologies help us deliver a wider array of solutions to more markets than ever before.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquí , or tu ).

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