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Remote Large Language Model Llm Jobs in Georgetown, TX

Snowflake

Sr. Technical Architect

Austin, TX · On-site +1

$136K - $178K/yr

Hands-on experience with generative AI and large language model (LLM) use cases in production * Experience building and scaling a Center of Excellence or establishing architectural standards across a ...

Visa

Cybersecurity Engineer

Austin, TX · Remote

$123K/yr

... and Large Language Models (LLMs) is aligned with Visa security controls, Pismo dataprotection principles, and global regulatory expectations. This is a remote position. A remote position does not ...

Cotality

Principal Software Engineer (Python)

Austin, TX · On-site +1

$133K - $179K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Large Language Models (LLMs) for complex synthesis. * Automate Metadata Ingestion: Collaborate with ...

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Remote Large Language Model Llm information

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How much do remote large language model llm jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote large language model llm in Georgetown, TX is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $27.02 per hour, depending on experience, location, and employer.

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Georgetown, TX?

The most popular types of Large Language Model Llm jobs in Georgetown, TX are:

What are popular job titles related to Remote Large Language Model Llm jobs in Georgetown, TX?

For Remote Large Language Model Llm jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Remote Large Language Model Llm jobs in Georgetown, TX look for?

The top searched job categories for Remote Large Language Model Llm jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Remote Large Language Model Llm jobs?

Cities near Georgetown, TX with the most Remote Large Language Model Llm job openings:

Remote Large Language Model Llm jobs near you
Infographic showing various Remote Large Language Model Llm job openings in Georgetown, TX as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $47,036 per year, or $22.6 per hour.

AWS Sr. Developer Node.js/TypeScript

TTEC Digital

Austin, TX • Remote

$115K - $135K/yr

Full-time

Re-posted 8 days ago

Job description

TTEC Digital is seeking an MSP Sr. Developer to join our AWS Partner Practice. This is a remote role based in the United States. As a core member of our Managed Services Practice (MSP), you will shift focus from project-based delivery to ongoing managed services - owning, operating, and continuously improving AWS-based solutions for our clients over the long term. 

Our MSP teams function as autonomous units supporting multiple client environments simultaneously. Unlike project delivery teams, MSP teams are responsible for the health, reliability, and evolution of live production systems. You will lead a team of 3-4 developers, working closely with a dedicated MSP project/service manager and Technical Account Managers to handle incident response, change management, continuous improvement initiatives, and proactive infrastructure enhancements. 

The MSP Sr. Developer reports to the Executive Director and is expected to contribute to Best Practice Documentation and internal tooling standards across the organization. 

What You Will Be Doing:

  • Leading daily standups and service review meetings with your internal team and clients as needed, covering ongoing incidents, change requests, and operational health. 

  • Owning the operational stability of client AWS environments - monitoring, incident response, root cause analysis, and remediation. 

  • Managing and executing change requests and enhancement work through Jira, including infrastructure-as-code updates using CloudFormation and Serverless Framework templates. 

  • Collaborating with clients on roadmap planning, translating evolving business needs into actionable backlog items for your MSP team. 

  • Mentoring junior developers on both technical skills and the discipline required for managed services: documentation, runbooks, and SLA awareness. 

  • Staying current on the latest AWS services and broader cloud industry trends, proactively identifying opportunities to improve client environments. 

  • Contributing to internal MSP best practices, tooling, and playbooks to improve team efficiency and service quality. 

  • Handling professional conflict constructively - the lead has final say on technical decisions and is responsible for maintaining team morale and cohesion. 

What You Will Bring:

  • 7+ years of development experience with a strong, recent focus on Node.js/TypeScript and AWS services. 

  • Demonstrated expert knowledge of AWS services and cloud architecture, including Lambda, DynamoDB, S3, CloudFormation, RDS, Redshift, and VPC/network configurations. 

  • Experience operating in a managed services or operational support environment - not just project delivery - with an understanding of SLAs, incident management, and change control. 

  • Thorough knowledge of agile and ITSM methodologies; comfortable blending Scrum practices with service management disciplines. 

  • Ability to mentor junior team members constructively, fostering growth while maintaining strong team relationships. 

  • A mindset of seeking to understand before prescribing a solution - essential in long-term client relationships. 

  • Willingness to stand behind your convictions while committing to team decisions. 

  • A genuine love of technology and continuous learning, particularly the latest services and best practices from AWS. 

 Desired Skills

  • Experience with the Serverless Framework (serverless.com). 

  • Python development experience. 

  • Familiarity with observability and monitoring tools (e.g., CloudWatch) 

  • Background in Amazon Connect or contact center technology. 

  • Experience designing and integrating AI/ML solutions using AWS AI services such as Amazon Lex, Bedrock, SageMaker, Comprehend, or Transcribe. 

  • Familiarity with large language model (LLM) integration patterns, prompt engineering, and AI-powered automation within cloud-native architectures. 

  • Experience with natural language processing (NLP) and conversational AI, including chatbot development and voice/chat automation. 

$115,000 - $135,000 a year
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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