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Llm Engineer Jobs (NOW HIRING)

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA · On-site

$110K - $148K/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 ...

LiteLLM AI Gateway

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Python, LLM APIs, FastAPI As the Backend LLM Engineer, you'll be responsible for ensuring LiteLLM unifies the format for calling LLM APIs in the broader OpenAI + Anthropic spec. This involves writing ...

TriOptus LLC

Gen AI / LLM Engineer (AWS)

Reston, VA · On-site

Client is seeking a highly skilled and motivated AI/ML Engineer to join client's team and drive the development and optimization of AI solutions. * This role is ideal for someone who thrives at the ...

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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.

Senior Full-Stack LLM Engineer

SWITS DIGITAL Private Limited

Dallas, TX • On-site

Full-time

Re-posted 5 days ago

Job description

Title Senior Full Stack LLM Engineer
Location Dallas TX
Job Summary
We are seeking an experienced Full Stack Engineer with extensive hands on expertise across modern technology stacks and a collaborative mindset. The ideal candidate will work closely with cross functional teams introduce modern tools and frameworks and drive engineering excellence across the organization
The candidate will design and develop high quality production grade code following best practices coding standards and architectural principles. This role also includes mentoring junior developers through code reviews and knowledge sharing to build a strong technical culture
Must Have Technologies
ReactJS Java 17 Microservices AWS Azure RDBMS NoSQL
Core Technical Skills
10 plus years of hands on software development experience with deep expertise in modern Java full stack development
Strong command of Java frameworks including Spring Spring Boot and Hibernate
Experience building single page applications using ReactJS Bootstrap and Nodejs
Hands on experience designing developing and deploying cloud based architectures on AWS Azure or similar platforms
Expertise in developing applications using relational databases such as SQL Server PostgreSQL and NoSQL databases such as MongoDB Elasticsearch
Experience integrating Large Language Models into applications using APIs such as OpenAI Anthropic Claude Azure OpenAI AWS Bedrock
Familiarity with prompt engineering Retrieval Augmented Generation embeddings and vector databases
Understanding of responsible AI practices including data privacy hallucination mitigation evaluation and guardrails
Hands on experience building production applications backend services automation tools or data pipelines in Python
Knowledge of security frameworks such as OAuth 2.0 OpenID Connect and JWT
Experience designing and building RESTful APIs and web services
Strong SQL skills including query optimization and performance tuning
Experience with testing frameworks such as Jest Mocha and Chai and test driven development
Strong understanding of frontend architecture and data driven UI development
Ability to write clean efficient and maintainable code
Strong problem solving and troubleshooting skills
Leadership and Soft Skills
Proven ability to lead mentor and grow engineering teams
Experience driving architectural decisions and technical direction
Strong stakeholder management skills and ability to translate business requirements into technical solutions
Experience delivering complex projects end to end from design to deployment
Excellent communication skills for both technical and non technical audiences
Experience conducting code reviews and enforcing best practices
Ability to collaborate with product managers designers and stakeholders
Experience mentoring junior engineers and contributing to hiring and development
Strategic thinking with focus on long term architecture and technical debt management
Strong ownership mindset and accountability
Good to Have Palantir
Experience with Palantir Foundry including pipelines ontologies and data driven applications
Familiarity with tools such as PySpark transforms TypeScript based functions and Workshop
Experience with enterprise data integration and analytics workflows on Palantir
Exposure to AI ML frameworks such as LangChain LlamaIndex Hugging Face
Ability to apply AI driven solutions to business problems and integrate into enterprise systems

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