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Home Based Llm Engineer Jobs (NOW HIRING)

Scalence L.L.C.

AI/LLM Engineer

Manhattan, NY · On-site

C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

Integrate traditional ML with LLM based systems to enable hybrid intelligence workflows * Develop Python based pipelines for model training, evaluation, and deployment * Apply prompt engineering ...

eTeam

AI/LLM Engineer

Manhattan, NY · On-site

Job Summary : eTeam is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role involves developing systems that can reason, plan, and act autonomously ...

USA Clinics Group

LLM Engineer

Northbrook, IL

$85K - $115K/yr

Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're ... The LLM Engineer serves as the organization's AI technical lead responsible for designing ...

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 ...

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 ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

Our mission is simple: deliver life-changing, minimally invasive care, close to home. We're building a culture where innovation, compassion, and accountability thrive. While proud of our growth, w ...

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All JobsHome Based Llm Engineer Jobs

Home Based Llm Engineer information

How much do LLM engineers make?

LLM engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and natural language processing can command higher salaries, often exceeding $200,000.

How can I make 2000 a week working from home?

Home Based LLM Engineers can increase earnings by taking on multiple freelance or contract projects, specializing in high-demand skills like model fine-tuning or deployment, and building a strong portfolio. Earning $2000 weekly typically requires consistent work, advanced expertise, and efficient time management, often involving remote collaboration tools and specialized knowledge of large language models.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups with significant growth potential.

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.

Are LLM engineers in demand?

LLM engineers are in high demand due to the rapid growth of large language models and AI applications across industries. They typically require skills in machine learning, natural language processing, and programming, and often find opportunities in tech companies, research institutions, and startups focused on AI development.
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Home Based Llm Engineer jobs near you

AI/LLM Engineer

Scalence L.L.C.

Manhattan, NY • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
Scalence L.L.C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks to create systems that can reason, plan, and act autonomously.
Responsibilities:
• Agent & AI System Development
• Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar.
• Develop intelligent components capable of reasoning, planning, and executing tasks autonomously.
• Implement advanced cognitive patterns such as ReAct (Reasoning + Acting).
• Develop and integrate memory, tool usage, and context management capabilities (MCP).
• Build systems that leverage tool calling, chaining, and orchestration of LLM workflows.
• Collaborate with prompt engineers to enhance model responses and performance.
• Write high-quality, scalable code using Python (including async programming).
• Build and maintain APIs and microservices for AI/agent-based applications.
• Ensure systems are efficient, reliable, and production-ready.
• Design and implement guardrails and safety mechanisms for LLM-driven systems.
• Ensure robust handling of edge cases, failure scenarios, and unintended outputs.
• Work with modern data platforms such as: Snowflake, Databricks, Lakehouse Architectures.
• Integrate AI solutions with enterprise data pipelines and systems.
Qualifications:
Required:
• 8-10 Years of experience in AI/LLM Engineering
• Strong Python engineering expertise
• Hands-on experience with modern agent frameworks
• Solid understanding of data platforms and scalable architectures
• Experience in designing and building agent-based systems using frameworks such as LangChain, LangGraph, or similar
• Ability to develop intelligent components capable of reasoning, planning, and executing tasks autonomously
• Experience implementing advanced cognitive patterns such as ReAct (Reasoning + Acting)
• Ability to develop and integrate memory, tool usage, and context management capabilities (MCP)
• Experience building systems that leverage tool calling, chaining, and orchestration of LLM workflows
• Collaboration with prompt engineers to enhance model responses and performance
• Ability to write high-quality, scalable code using Python (including async programming)
• Experience building and maintaining APIs and microservices for AI/agent-based applications
• Ensuring systems are efficient, reliable, and production-ready
• Designing and implementing guardrails and safety mechanisms for LLM-driven systems
• Ensuring robust handling of edge cases, failure scenarios, and unintended outputs
• Experience working with modern data platforms such as Snowflake, Databricks, and Lakehouse Architectures
• Ability to integrate AI solutions with enterprise data pipelines and systems
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, New Jersey, US, , with a team of 501-1000 employees. The company is currently Late Stage.

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