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Llm Engineer Jobs (NOW HIRING)

Scalence L.L.C.

AI/LLM Engineer

Manhattan, NY · On-site

C. is looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role involves developing advanced AI capabilities and ensuring the integration of AI ...

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 ...

SmartIPlace

LLM Engineer[Onsite]

Houston, TX · Remote

$170K/yr

LLM Engineer 6-month contract Houston,TX (Onsite) USC/GC Required Skills & Experience -3+ years of large language modeling experience -5+ years of python experience -Strong problem solving skills and ...

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using ...

Clera

AI/LLM Engineer

San Francisco, CA · On-site

$90K - $200K/yr

About the Role A fast-growing, Y Combinator-backed B2B SaaS startup in the sales automation space is looking for an AI/LLM Engineer to join their team in Munich. The company automates quote and order ...

New

Clera

AI/LLM Engineer

San Francisco, CA · On-site

$90K - $200K/yr

About the Role A fast-growing, Y Combinator-backed B2B SaaS startup in the sales automation space is looking for an AI/LLM Engineer to join their team in Munich. The company automates quote and order ...

New

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

Gap International

AI/LLM Engineer

Philadelphia, PA

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on large language models and natural language understanding. Your work will involve techniques such as ...

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 large language models and natural language understanding. Your work will involve techniques such as ...

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 large language models and natural language understanding. Your work will involve techniques such as ...

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Llm Engineer information

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$25

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How much do llm engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for llm engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

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 machine learning and natural language processing can command higher salaries, often exceeding $200,000 with bonuses and stock options.

What are the key skills and qualifications needed to thrive as an LLM engineer?

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

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Llm Engineer jobs near you
Infographic showing various Llm Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

AI/LLM Engineer

Scalence L.L.C.

Manhattan, NY • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Scalence L.L.C. is looking for a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role involves developing advanced AI capabilities and ensuring the integration of AI solutions with enterprise data platforms.
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)
• Experience in developing and integrating memory, tool usage, and context management capabilities (MCP)
• Ability to build systems that leverage tool calling, chaining, and orchestration of LLM workflows
• Experience collaborating 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
• Ability to ensure systems are efficient, reliable, and production-ready
• Experience designing and implementing guardrails and safety mechanisms for LLM-driven systems
• Ability to ensure 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, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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