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Home Based Llm Engineer Jobs (NOW HIRING)

Straive

LLM Engineer

San Francisco, CA · On-site +1

As an LLM Engineer at Straive, you will play a crucial role in designing, developing, and optimizing advanced language-based AI systems that enhance our product offerings and customer experiences.

First Soft Solutions

LLM Engineer

Dallas, TX · On-site

LLM Engineer Location: Dallas, TX (Onsite) Start: Immediate Role Overview We are looking for a ... Implement RAG, embeddings, and vector-based search solutions * Ensure security, performance, and ...

First Soft Solutions

LLM Engineer

Dallas, TX · On-site

LLM Engineer Location: Dallas, TX (Onsite) Start: Immediate Role Overview We are looking for a ... Implement RAG, embeddings, and vector-based search solutions * Ensure security, performance, and ...

Gap International

AI/LLM Engineer

Philadelphia, PA

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...

Gap International

AI/LLM Engineer

Springfield, PA

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...

Gap International

AI/LLM Engineer

Springfield, PA · On-site

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging ...

Workato

Intern, AI Engineering

San Francisco, CA

You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure ... Mentor and collaborate with LLM engineers on implementation and deployment Requirements ...

GPTZero

LLM Engineer (GenAI, NYC)

New York, NY · On-site

$150K - $230K/yr

... in LLM abilities on novel tasks with subjective outputs * Excellent software engineer with ... We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at ...

Guru Schools

Machine Learning Engineer

Philadelphia, PA · On-site

Machine Learning Engineer Philadelphia, PA OR Washington, DC | Hybrid: 3-4 days/week 9 + Months ... Build & enhance ML/AI models for validation and automation Implement prompt-based LLM interactions ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure ... Mentor and collaborate with LLM engineers on implementation and deployment Requirements ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure ... Mentor and collaborate with LLM engineers on implementation and deployment Requirements ...

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Home Based Llm Engineer information

What is the difference between Home Based Llm Engineer vs Data Scientist?

AspectHome Based Llm EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning modelsDegree in Data Science, Statistics, or related fields; proficiency in programming and analytics
Work EnvironmentRemote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data and building predictive models
Industry UsageAI companies, tech firms, research institutionsTech, finance, healthcare, and various industries requiring data analysis

Home Based Llm Engineers focus on developing and optimizing large language models remotely, while Data Scientists analyze data to generate insights. Both roles require strong technical skills and often work in similar industries, but their core responsibilities differ in model development versus data analysis.

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Home Based Llm Engineer jobs near you
Infographic showing various Home Based Llm Engineer job openings in the United States as of May 2026, with employment types broken down into 64% Full Time, 22% Part Time, 2% Temporary, and 12% Contract. Highlights an 4% Physical, 17% Hybrid, and 79% Remote job distribution.

LLM Engineer

Straive

San Francisco, CA • On-site, Remote

Full-time

Posted 12 days ago

Job description

Straive is a leading company in the Information Technology and Services industry, committed to delivering innovative solutions that leverage cutting-edge technologies to drive business transformation. We are currently seeking a highly skilled LLM Engineer to join our dynamic team. The ideal candidate will have a deep understanding of large language models (LLMs) and their application in real-world scenarios. As an LLM Engineer at Straive, you will play a crucial role in designing, developing, and optimizing advanced language-based AI systems that enhance our product offerings and customer experiences. This position offers an exciting opportunity to work with a talented group of professionals in a fast-paced, collaborative environment where your expertise will directly impact the evolution of AI-driven solutions. If you are passionate about natural language processing, machine learning, and artificial intelligence, and looking to contribute to transformative projects, Straive is the perfect place to grow your career and make a difference in the industry.
Responsibilities
  • Design, develop, and deploy large language model-based applications and services.
  • Collaborate with cross-functional teams to integrate LLM technologies into existing platforms.
  • Research and implement state-of-the-art natural language processing techniques.
  • Optimize model performance for accuracy, speed, and scalability.
  • Conduct thorough testing and validation of language models to ensure quality and reliability.
  • Stay updated with the latest advancements in LLMs and AI to incorporate best practices.
  • Provide technical guidance and support to team members on LLM-related projects.

Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience working with large language models such as GPT, BERT, or similar frameworks.
  • Strong programming skills in Python and familiarity with ML libraries like TensorFlow or PyTorch.
  • Deep understanding of natural language processing concepts and techniques.
  • Experience with model deployment in cloud environments such as AWS, Azure, or GCP.
  • Ability to analyze and improve model performance using appropriate evaluation metrics.
  • Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

Benefits
Social Security (IMSS)
National Housing Fund (Infonavit)
Consumption Coverage (FONACOT)
Deel Management Fee
Profit sharing bonus
Severance accrual

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