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Llm Engineer Remote Jobs in Texas (NOW HIRING)

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... LLM optimization & improved response handling. Responsibilities: * Design, develop, and deploy ...

Continued

AI Engineer (Remote)

Austin, TX · Remote

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... LLM-powered systems. * Technical Skills: * Builder & Deployer: You don't just prototype-you ship.

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · On-site +1

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

LLM/prompt engineering basics * Github/version control * Terminal Typical AI Engineer Role and ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

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Llm Engineer Remote information

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are some typical challenges faced by remote LLM Engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What are the key skills and qualifications needed to thrive as an LLM Engineer in a remote role, and why are they important?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What is an LLM Engineer (Remote)?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.
What are the most commonly searched types of Llm Engineer jobs in Texas? The most popular types of Llm Engineer jobs in Texas are:
What are popular job titles related to Llm Engineer Remote jobs in Texas? For Llm Engineer Remote jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Llm Engineer Remote jobs in Texas look for? The top searched job categories for Llm Engineer Remote jobs in Texas are:
What cities in Texas are hiring for Llm Engineer Remote jobs? Cities in Texas with the most Llm Engineer Remote job openings:
Llm Engineer Remote jobs near you
Infographic showing various Llm Engineer Remote job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

AI Engineer -Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Contractor

Re-posted 27 days ago

Job description

NAVA Software is looking for an AI Engineer
Details:
AI Engineer
Location: 100% Remote
Duration: 6+ month contract-to-hire
Requirement:
  • Implemented GraphRag in AI/ML products (production deployments).
  • Strong Azure cloud experience.
  • Python/PySpark, Java programming.
  • Experience building UI with React/Angular, HTML, CSS, JavaScript.
  • Knowledge graph implementation (Neo4j preferred).
  • LLM optimization & improved response handling.

Responsibilities:
  • Design, develop, and deploy Decision Intelligence & AI-enabled products.
  • Work in Agile teams with engineers, scientists, product managers.
  • Guide architecture, infrastructure, and tools for AI/ML products.
  • Develop rapid prototypes and scale solutions in production.
  • Build MLOps pipelines for structured/unstructured data.
  • Implement observability, monitoring, and compliance with HIPAA/security standards.
  • Mentor engineers and drive innovation.

Preferred Skills:
  • Contributions to open-source AI/ML projects.
  • Healthcare industry knowledge.
  • Experience with medical terminology & clinical workflows.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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