ZipRecruiter

Log In

1

Senior Llm Developer Jobs (NOW HIRING)

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 ...

Wise Skulls Corp.

Sr AI/LLM Engineer

Frisco, TX · On-site

$98K - $134K/yr

... LLM / Agent Systems LangGraph (state machines, conditional edges, checkpointing)LangChain 0.3.x ... DoclingUnstructuredpython-docxpython-pptx DevOps & Platform DockerLinux fundamentals Nice-to-Haves ...

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 ... This is a mid to senior-level role for someone who's ready to go deep on applied ML problems - from ...

TMS

AI/ LLM Engineer- Next.js

Princeton, NJ · On-site

Role: Senior Full Stack Engineer - AI & Next.js Duration: Long Term Location: United States- Remote Role Summary We are looking for a Senior Full Stack Engineer with strong experience in AI/LLM ...

Lorven Technologies

Senior AI/ML Engineer

Calabasas, CA · On-site

$110K - $151K/yr

Senior AI/ML Engineer GenAI & Cloud Solutions Location: Woodland hills, CA (onsite Role ... GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large ...

Gap International

AI/LLM Engineer

Springfield, PA

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Willing to communicate and contribute thoughts, insights and new ideas to senior leaders both ...

Gap International

AI/LLM Engineer

Philadelphia, PA

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Willing to communicate and contribute thoughts, insights and new ideas to senior leaders both ...

next page

Showing results 1-20

All JobsLlm Developer JobsSenior Llm Developer Jobs

Senior Llm Developer information

See salary details

$25K

$80.3K

$163.5K

How much do senior llm developer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for senior llm developer in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior LLM (Large Language Model) developer or AI executive, often involving advanced skills in machine learning, deep learning, and data engineering. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or expertise in cutting-edge AI tools and frameworks. Compensation at this level reflects the complexity and impact of the work, often including bonuses and stock options.

What jobs in the US pay 300,000 a year?

Senior LLM developers and other advanced AI specialists can earn $300,000 or more annually, especially with extensive experience, specialized skills in machine learning, and proficiency in tools like Python and TensorFlow. High-level roles in technology, finance, and consulting firms often reach or exceed this salary level for professionals with advanced expertise and leadership responsibilities.

What is the salary of LLM developer?

The salary of a Senior LLM Developer typically ranges from $120,000 to $180,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow are in high demand and may earn higher compensation.

What engineers make $500,000?

Senior LLM developers and AI engineers with extensive experience, advanced skills in machine learning, deep learning, and natural language processing, and often working in high-demand tech companies or specialized research roles, can reach or exceed a $500,000 annual salary. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets or senior leadership positions.

What are the key skills and qualifications needed to thrive as a Senior LLM Developer, and why are they important?

To thrive as a Senior LLM Developer, you need deep expertise in natural language processing, machine learning, and advanced programming skills, typically supported by a relevant degree and experience with large language models. Proficiency with frameworks like PyTorch or TensorFlow, cloud platforms (AWS, GCP, Azure), and version control systems, as well as familiarity with model fine-tuning and deployment, are essential. Strong problem-solving, communication, and collaboration skills help in leading teams and translating complex requirements into innovative solutions. These skills are crucial for building, optimizing, and maintaining robust language models that meet organizational objectives and stay ahead in a rapidly evolving field.

What is the difference between Senior Llm Developer vs Machine Learning Engineer?

AspectSenior Llm DeveloperMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or related fields; experience with ML frameworks
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLPTech companies, startups, industries applying ML solutions
Industry UsagePrimarily in NLP, AI research, and language model developmentBroader across AI applications, including vision, speech, and data analysis

While both roles require strong AI and ML knowledge, Senior Llm Developers specialize in language models and NLP, whereas Machine Learning Engineers work across various AI domains. The roles often overlap but differ in focus and application areas.

What are some common challenges Senior LLM Developers face when deploying large language models in production environments?

Senior LLM Developers often encounter challenges such as optimizing model performance for latency and scalability while maintaining accuracy. Managing resource-intensive inference and ensuring robust monitoring to detect issues like model drift or biased outputs are also key concerns. Additionally, integrating LLMs with existing systems and coordinating with cross-functional teams, such as MLOps engineers and product managers, is essential for successful deployment. Staying updated with rapidly evolving frameworks and compliance requirements adds to the complexity of the role.

What are Senior LLM Developers?

Senior LLM Developers are experienced software engineers who specialize in building, fine-tuning, and deploying large language models (LLMs) such as GPT, BERT, or similar AI models. They work on advanced natural language processing (NLP) tasks, optimize model performance, and often lead teams in developing AI-driven applications. Their responsibilities include data pipeline development, model training, performance evaluation, and integrating LLMs into products. They are proficient in programming languages like Python, familiar with machine learning frameworks, and stay updated with the latest research in AI and NLP.
More about Senior Llm Developer jobs
What cities are hiring for Senior Llm Developer jobs? Cities with the most Senior Llm Developer job openings:
What are the most commonly searched types of Llm Developer jobs? The most popular types of Llm Developer jobs are:
What states have the most Senior Llm Developer jobs? States with the most job openings for Senior Llm Developer jobs include:
What job categories do people searching Senior Llm Developer jobs look for? The top searched job categories for Senior Llm Developer jobs are:
Senior Llm Developer jobs near you
Infographic showing various Senior Llm Developer job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 3% Part Time, 1% Temporary, and 13% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.
Senior LLM Research Engineer - Artificial Intelligence

Senior LLM Research Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Senior LLM Research Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049309
Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior LLM Research Engineers with a strong expertise and passion for Large Language Modeling research and applications to join our team.
The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities with new products. This would allow our clients to ask complex questions in natural language and receive insights extracted across our vast number of Bloomberg APIs or from potentially millions of structured and unstructured information sources.
Broad areas of applications and interest include: application and fine-tuning methods for LLMs, efficient methods for training, multimodal models, learning from feedback and human preferences, retrieval-augmented generation, summarization, semantic parsing and tool use, domain adaptation of LLMs to financial domains, dialogue interfaces, evaluation of LLMs, model safety and responsible AI.
What's in it for you:
  • Collaborate with colleagues on building and applying LLMs for production systems and applications
  • Write, test, and maintain production quality code
  • Train, tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models
  • Demonstrate technical leadership by owning cross-team projects
  • Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies
  • Represent Bloomberg at scientific and industry conference and in open-source communities
  • Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have:
  • Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
  • Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
  • Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface or Deepspeed
  • Proficiency in software engineering
  • An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
  • A track record of authoring publications in top conferences and journals is a strong plus

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai
Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

View All Bloomberg Jobs

Apply