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Senior Llm Developer Jobs (NOW HIRING)

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

Cybercoders

Senior AI/ML Engineer

Pittsburgh, PA · Remote

$101K - $139K/yr

Senior AI/ML Engineer Title: Senior AI/ML Engineer Reports to: VP of Engineering, Operations ... Insight synthesis engine - Ship an LLM-powered correlation engine that returns root causes ...

Dale WorkForce Solutions

Senior AI Developer

Dale WorkForce Solutions is seeking a Senior AI Developer / Integrator who will focus on ... The role involves integrating third-party LLM solutions, building scalable AI applications, and ...

Infosys Limited Digital

... Senior Consultant - Agent Developer (LLM & Agentic Workflows) - Infosys Consulting Infosys Consulting's Tech Transformation Advisory Practice is seeking a Senior Consultant specializing in Agent ...

HEALTHSTREAM INC

Senior Developer

Nashville, TN · Hybrid

$52.75 - $69.50/hr

As a Senior Developer, you will serve as a technical anchor for AI initiatives, collaborating ... Architect scalable LLM integration pipelines including retrieval-augmented generation (RAG), vector ...

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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 Jul 2, 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.
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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 3% Internship, 8% As Needed, 69% Full Time, 14% Temporary, 3% Contract, and 3% Nights. 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 AI Engineer - Agentic Systems and LLM

Vytwo Technologies Inc.

Remote

$107K - $146K/yr

Full-time

Posted 10 days ago

Job description

Job Summary:
Vytwo Technologies Inc. is seeking a Senior AI Engineer to design and build production-grade LLM-powered applications and agentic systems. This role involves end-to-end development of intelligent solutions, focusing on architecture and deployment using Python and modern LLM frameworks.
Responsibilities:
• 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)
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
Vytwo Technologies is a globally recognized enterprise applications integrator. Founded in 2003, the company is headquartered in Minneapolis, Minnesota, US, , with a team of 201-500 employees. The company is currently Growth Stage.

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