1

Llm Developer Jobs in Massachusetts (NOW HIRING)

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Sr. DevOps Engineer II

Boston, MA ยท On-site

$141K - $181K/yr

Build and maintain AI/ML infrastructure and monitoring for LLM-powered agentic services * Establish and enforce infrastructure-as-code standards using Terraform, defining the patterns other engineers ...

Showing results 21-40

Llm Developer information

See Massachusetts salary details

$27

$54

$86

How much do llm developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for llm developer in Massachusetts is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $66.44 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

What are the most commonly searched types of Llm Developer jobs in Massachusetts?

The most popular types of Llm Developer jobs in Massachusetts are:

What job categories do people searching Llm Developer jobs in Massachusetts look for?

The top searched job categories for Llm Developer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Llm Developer jobs?

Cities in Massachusetts with the most Llm Developer job openings:

Infographic showing various Llm Developer job openings in Massachusetts as of August 2026, with employment types broken down into 81% Full Time, 8% Part Time, and 11% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $113,956 per year, or $54.8 per hour.

GPU Programming Expert - Remote

YO AI Labs

Boston, MA โ€ข Remote

$60 - $85/hr

Full-time

Posted 14 days ago


Job description

GPU Programming Expert - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities
  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications
  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan