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Senior Llm Developer Jobs (NOW HIRING)

Gap International

AI/LLM Engineer

Philadelphia, PA · On-site

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

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

Springfield, PA · On-site

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 ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML ... Collaborate with product managers, data scientist, and software engineers to integrate LLM-based ...

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Senior Llm Developer information

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$25K

$80.3K

$163.5K

How much do senior llm developer jobs pay per year?

As of Jun 11, 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 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 deep learning frameworks may earn higher compensation, especially in competitive tech markets.

What engineers make $500,000?

Senior LLM developers and AI engineers with extensive experience, specialized skills in machine learning, deep learning, and natural language processing, and often working in high-demand industries or at leading tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, stock options, and other incentives, especially at senior levels or in competitive markets.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as Senior Llm Developer or AI research director, which involve developing large language models, advanced machine learning techniques, and require expertise in deep learning frameworks. These positions often demand extensive experience, specialized skills, and may include leadership responsibilities or working in competitive tech environments.

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.

Which 3 jobs will survive AI?

For a Senior Llm Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI ethics specialists, AI system auditors, and interdisciplinary researchers. These jobs involve oversight, nuanced understanding, and ethical considerations that AI cannot fully replicate. Skills in critical thinking, domain expertise, and collaboration will remain valuable in the evolving AI landscape.
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Senior Llm Developer jobs near you
Infographic showing various Senior Llm Developer job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior AI Engineer - Agentic Systems and LLM

Vytwo

Prosper, TX • Remote

$60/hr

Full-time

Posted 21 days ago

Job description

Role: Senior AI Engineer - Agentic Systems and LLM
Client Location: Mason, OH
100% Remote
Job Description:
We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems.
This role owns the end-to-end development of intelligent solutionsfrom architecture to deploymentleveraging Python, modern LLM frameworks, and scalable system design.
Required Skills - AI, LLM, Agentic (Python)
Job Duties -
  • Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases
  • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain.
  • Integrate AI systems with APIs, backend services, and cloud platforms
  • Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Job Requirements -
  • 2/3 years hand-on experience developing Agentic workflows
  • Strong Python expertise with experience building and deploying production-grade backend systems
  • Hands-on experience developing applications using LLMs, including prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and vector databases
  • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
  • Strong system design skills with experience building and scaling cloud-based applications
Desired Skills & Experience -
  • Experience working in healthcare insurance payer space (payer domain knowledge)
  • Ideally someone onsite 3x week but very open to 100% remote for the right candidate One

This is a remote position.