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Llm Developer 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.

SmartIPlace

LLM Engineer[Onsite]

Houston, TX · Remote

$170.90K/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 ...

First Soft Solutions

LLM Engineer

Dallas, TX · On-site

LLM Engineer Location: Dallas, TX (Onsite) Start: Immediate Role Overview We are looking for a Senior Full Stack AI Engineer with strong experience in building scalable applications and integrating ...

First Soft Solutions

LLM Engineer

Dallas, TX · On-site

LLM Engineer Location: Dallas, TX (Onsite) Start: Immediate Role Overview We are looking for a Senior Full Stack AI Engineer with strong experience in building scalable applications and integrating ...

Simple Solutions

Sr Applied LLM Engineer

San Francisco, CA · On-site

$180K - $200K/yr

Sr. Applied LLM Engineer Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) * 3+ years of software development ...

Autonomize Inc

ML/LLM Engineer - Applied AI

Austin, TX · On-site

The Opportunity We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world applications - not just benchmarks. You'll help us build and optimize AI-native systems that blend ...

Diablo Convoy

LLM Engineer

Houston, TX

$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 ...

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 ...

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA

$110.40K - $148.60K/yr

As our AI/LLM engineer, you won't just write prompts -- you'll define how the system thinks. You'll architect the orchestration layer that enables streaming chat, multi-agent coordination, 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 large language models and natural language understanding. Your work will involve techniques such as ...

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How much do llm developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for llm developer in the United States is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $60.82 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Llm Developer position, and why are they important?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What is the salary of LLM engineer?

The salary of an LLM (Large Language Model) engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and NLP can earn higher compensation, often exceeding $200,000 with bonuses and stock options.
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Llm Developer jobs near you

AI/LLM Developer & Collaboration Portal Engineer with Security Clearance

Anonymous Employer

Chantilly, VA

Other

Posted 19 days ago

Job description

Job Title: AI/LLM Developer & Collaboration Portal Engineer Clearance: TS/ SCI preferred, US Citizen Required We are seeking an AI/LLM Developer with strong expertise in Large Language Model integration, AI-driven application development, and collaboration portal engineering. This candidate will design, develop, and deploy of AI-powered tools to enhance knowledge management, decision support, and proposal/evaluation processes, while also supporting the development of a secure, scalable collaboration portal for internal and external stakeholders. Key Responsibilities AI/LLM Development: Design, train, fine-tune, and deploy Large Language Model (LLM) solutions for internal and client-facing use cases.

Implement AI-driven features for document analysis, summarization, proposal compliance reviews, and knowledge retrieval. Integrate AI capabilities with structured and unstructured data sources to enable context-aware outputs. Ensure AI solutions meet performance, ethical, and compliance standards.

Collaboration Portal Development: Lead the design and development of a secure, user-friendly collaboration portal for document sharing, workflow management, and team communication. Implement integrations with enterprise systems, AI APIs, and cloud services. Develop access controls, user roles, and security features aligned with corporate and government compliance standards.

Optimize performance, scalability, and user experience. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred). Software development experience in AI/LLM development (OpenAI, Anthropic, Hugging Face, LangChain, RAG pipelines, etc.).

Programming skills in Python, JavaScript/TypeScript, or similar. Experience building AI-enabled web applications and APIs. Hands-on experience with collaboration platforms (SharePoint, Confluence, custom-built portals, etc.).

Proficiency with cloud environments (AWS, Azure, GCP) and related DevOps pipelines. Understanding of data security, identity management, and compliance in government or regulated environments. Preferred Qualifications Experience with FAR-based government contracting tools or proposal evaluation systems.

Familiarity with vector databases, semantic search, and knowledge graphs. UI/UX design skills for data-rich applications. Experience with containerization (Docker, Kubernetes)

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