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Senior Llm Developer Jobs in Texas (NOW HIRING)

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 ...

iPeople Infosystems LLC

Senior Google CES developer

Dallas, TX · On-site

$54.25 - $71.50/hr

Senior Google CES developer Location : Onsite at nearby Infosys office Position: Contract Role ... AI Integrations * LLM Models * Dialogflow / Google CES * Cloud Technologies How are the primary ...

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 ...

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.

ClifyX

Senior AI DevOps Engineer

Dallas, TX · On-site

$55/hr

Senior AI DevOps Engineer Work Location: Any Infosys Hub office (Hybrid) Contract duration ... AI related workloads deployments including knowledge of LLM integrations/ subscriptions like OpenAI ...

Lendistry

Sr AI/Agentic Engineer

Dallas, TX · On-site

$103K - $142K/yr

They are seeking a Senior AI Engineer to lead the delivery of AI features, focusing on document ... Required : • 5+ years of software engineering experience, with 3+ years building and shipping LLM ...

Tanisha Systems

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary ... Preferred Qualifications Experience with LLM fine-tuning , prompt engineering , and model ...

Further

Senior Software Developer

Dallas, TX · Hybrid

$54 - $71.25/hr

Senior Software Developer You are the engineer who can take a hard problem from data layer to UI to ... LLM integration is part of the everyday work, not a side project. You'll write NestJS services that ...

WorkNovas LLC

Sr. DevOps Engineer

Austin, TX · On-site

$50 - $55/hr

Cost optimization for AI and LLM workloads. * Internal developer platform experience. Best Regards, Tripuresh Singh Team Lead/Senior Technical Recruiter Email: Tripuresh.s@worknovasllc.com 1317 ...

XFORIA Inc

Sr. .Net Developer / Lead

Austin, TX · On-site

Job Title: Sr. .Net Developer / Lead Job Location: Fort Mill, SC--Hybrid || Autin, TX Full time ... LLM-based integrations · Strong experience with .NET Core / ASP.NET Core · Expertise in C# · ...

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Senior Llm Developer information

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 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 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 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.
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Senior Llm Developer jobs near you

ML/LLM Engineer - Applied AI

Autonomize Inc

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago

Job description

About Autonomize AI
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters - improving lives. We're growing fast and looking for bold, driven teammates to join us.
The Opportunity
We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world applications - not just benchmarks. You'll help us build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a mid to senior-level role for someone who's ready to go deep on applied ML problems - from retrieval to routing to generation - and ship solutions that deliver impact.
What you'll do
  • Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)

  • Fine-tune and evaluate LLMs using both open-source and proprietary data

  • Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma

  • Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases

  • Monitor and improve model quality, latency, explainability, and safety

  • Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures

Qualifications
  • 3-6 years of experience in applied ML, with at least 1-2 years working with LLMs

  • Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)

  • Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning

  • Bias for experimentation, clarity, and pushing things into production - fast

  • Understanding of responsible AI practices, model evaluation, and observability

  • Experience in healthcare, compliance-sensitive data, or regulated environments

What we offer
  • A chance to make a real impact in the future of healthcare

  • Autonomy, ownership, and the ability to chart your own growth path

  • Competitive compensation and benefits

  • 100% employer-paid health, vision, and dental insurance

  • Retirement plans (401k), disability insurance, employee assistance programs

How to Apply
Please submit your resume and a brief cover letter to careers@autonomize.ai explaining why you are the ideal candidate for this role. We are excited to meet someone who is eager to bring their skills, enthusiasm, and creativity to our team!

Apply