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$59.5K

$126.6K

$183.5K

How much do senior llm engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior llm engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior LLM Engineer, you need deep expertise in machine learning, natural language processing, and advanced programming skills, typically supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as PyTorch, TensorFlow, Hugging Face Transformers, and cloud platforms, along with experience in deploying large-scale language models, is crucial. Strong problem-solving, collaboration, and communication skills set top performers apart in leading cross-functional AI initiatives. These abilities are vital for developing, optimizing, and scaling cutting-edge language models that drive innovation and business value.

Are senior Llm engineers in demand?

Senior Llm engineers are in high demand due to the rapid growth of artificial intelligence and natural language processing industries. They are sought after for their expertise in developing and deploying large language models, often requiring skills in machine learning frameworks, programming, and data management. This demand is expected to continue as AI applications expand across various sectors.

What is a senior LLM engineer?

Senior LLM (Large Language Model) Engineers are experienced professionals who design, build, optimize, and maintain advanced language models like GPT, BERT, or similar AI systems. They work on tasks such as model training, fine-tuning, deployment, and troubleshooting, often collaborating with data scientists and software engineers. Their expertise includes deep learning frameworks, natural language processing, and software engineering best practices. Senior LLM Engineers also play a key role in ensuring the ethical and efficient use of AI models in production systems.

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

Senior LLM Engineers often encounter challenges related to scaling models efficiently, managing latency, and ensuring model outputs are safe and reliable. Deploying large language models requires careful optimization to balance performance with computational costs, as well as robust monitoring to detect and mitigate issues like bias or hallucination in outputs. Collaboration with cross-functional teams, including data scientists, product managers, and DevOps, is key to addressing these challenges and ensuring successful model deployment and maintenance.

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

AspectSenior Llm EngineerMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or AI; strong programming skills
Work EnvironmentFocus on NLP, language models, and large-scale data processingBroader ML tasks, including data modeling, algorithms, and deployment
Industry UsagePrimarily in AI/NLP-focused companies, research labs

Senior Llm Engineers specialize in large language models and NLP-specific tasks, often requiring advanced NLP knowledge and experience with LLMs. Machine Learning Engineers have a broader scope, working on various ML models and applications across industries. While both roles require strong technical skills, Senior Llm Engineers focus more on language-specific AI, whereas Machine Learning Engineers handle diverse ML projects.

More about Senior Llm Engineer jobs
What cities are hiring for Senior Llm Engineer jobs? Cities with the most Senior Llm Engineer job openings:
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Senior Llm Engineer jobs near you
Infographic showing various Senior Llm Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Software Engineer, AI Agent & LLM

Otter.ai

Mountain View, CA • On-site, Remote

$155K - $185K/yr

Full-time

Posted 18 days ago

Job description

The Opportunity

We are looking for a Senior AI Agent & LLM Engineer who combines strong software engineering capabilities with a deep focus on AI quality. You will help build and improve the AI systems behind Otter's conversational knowledge engine and AI Chat, spanning user-facing agent experiences, evaluation systems, and the shared platform required to operate them reliably at scale.

This is a hands-on role for someone who can move from an ambiguous product problem to a working production solution, define how quality should be measured, and drive improvements across services, models, and user experience.

Your Impact
  • Build AI-agent experiences for Otter AI Chat that help users reason over conversations, retrieve knowledge, and complete complex tasks.
  • Advance Otter's conversational knowledge engine through better knowledge extraction, annotation, and indexing.
  • Develop robust evaluation datasets, automated graders, regression tests, and release gates for AI quality.
  • Diagnose failures across models, prompts, retrieval, tools, data pipelines, backend services, and product workflows.
  • Build shared agent infrastructure for orchestration, tracing, debugging, retries, sandboxed execution, and observability.
  • Improve task completion, correctness, groundedness, reliability, latency, and cost.
  • Turn production traces, customer feedback, and usage signals into measurable product and model improvements.
  • Collaborate across AI, product, infrastructure, data, security, and application teams to deliver end-to-end capabilities.
We're looking for someone who
  • Has 3+ years of AI Agent engineering, machine learning engineering, or related experience.
  • Brings strong backend or distributed-systems engineering skills.
  • Has hands-on experience building and shipping AI-agent or LLM-powered products.
  • Has a strong focus on AI quality and experience evaluating nondeterministic systems.
  • Can use data, traces, logs, and qualitative examples to identify and resolve complex failures.
  • Works effectively across services, technical domains, and organizational boundaries.
  • Combines strong product judgment with rigorous engineering and evaluation practices.
  • Operates with high agency, strong ownership, and a bias toward action.
  • Can take ambiguous problems from initial exploration through production launch and continuous improvement.
  • Demonstrated ability to use coding agents effectively while rigorously reviewing and controlling the quality of their output is a plus.
About Otter.ai

We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace.  We provide reasonable accommodations for qualified applicants throughout the hiring process. 

Accessibility & Accommodations 

Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process.  If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

Salary Range: $155,000 to $185,000 USD per year

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.
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